Crude Depletion Conditions for XKCM1 Arshad Desai
Mitchison, Tim
Crude Depletion Conditions for XKCM1 Arshad Desai 3/17/95 Problems: The main problem with immunodepletion of crude CSF extracts is that they activate during or soon after immunodepletion. Empirically well in crude). However, we have never been able to cycle a depleted crude - all assays were performed
Scalable Hierarchical Locking for Distributed Systems Nirmit Desai and Frank Mueller
Mueller, Frank
Scalable Hierarchical Locking for Distributed Systems Nirmit Desai and Frank Mueller Dept share computational resources in distributed environments, such as high-end clusters with ever larger requests in distributed systems. But concurrency protocols currently lack scalability. Adding
Asymptotic Unitary Equivalence in KK-Theory
2001-09-17T23:59:59.000Z
Key words: KK-theory, Cuntz pairs, classification of nuclear C?-algebras. 1. ... realizations of KK(A,B) for purely infinite simple nuclear C. ?. -algebras, [Kir94],.
A Modular Action Description Language for Protocol Composition Nirmit Desai and Munindar P. Singh
A Modular Action Description Language for Protocol Composition Nirmit Desai and Munindar P. Singh Department of Computer Science North Carolina State University Raleigh, NC 27695-8206, USA {nvdesai, singh). Chopra and Singh (2006) show how to express protocols in C+. MAD-P enhances Chopra and Singh's approach
On the representation of $A_{\\kk}(2)$ algebra and $A_{\\kk}(d)$ algebra
Won Sang Chung
2012-12-27T23:59:59.000Z
In this paper the representation of $A_{\\kk}(2)$ algebra given by Daoud and Kibler [M.Daoud and M.Kibler, J.Phys.A 43 115303 (2010), 45 244036 (2012)] is investigated. It is shown that the new generators are necessary for consistency of the algebra. The multi-mode extension of $A_{\\kk}(2)$ algebra, which is called $A_{\\kk}(d)$ algebra, is also obtained. The positivity condition of the energy spectrum is also investigated for $A_{\\kk}(2)$ algebra and $A_{\\kk}(d)$ algebra.
K.K. Gan 1 Summary of Irradiation Activity
Gan, K. K.
K.K. Gan 1 Summary of Irradiation Activity September 22, 2010 K.K. Gan The Ohio State University with 300 MeV pions in August VCSEL/PIN Irradiation #12;K.K. Gan TWEPP2010 3 array VCSEL driver Chips Irradiation #12;K.K. Gan TWEPP2010 4 Infinicor SX+: participating institution: SMU
Zefran, Milo?
Two-arm manipulation tasks with friction assisted grasping Jaydev P. Desai, Milos Zefran and Vijay is to study human dual arm manipulation tasks and to develop a com- putational model that predicts the trajectories and the force distribution for the coordination of two arms moving an object between two given
PIPA: A High-Throughput Pipeline for Protein Function Annotation Chenggang Yu, Valmik Desai, Nela of multisource predictions. We developed Pipeline for Protein Annotation (PIPA), a genome-wide protein function annotation pipeline that runs in a high-performance computing environment. PIPA integrates different tools
Kk electronic A S | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks - As Prepared forChoice ElectricInformationIron EdisonJiangxiKandenko CoKhmerKirmartKk
Carpick, Robert W.
Hydraulic Drivetrain and Regenerative Braking Team 13: Andrew Brown, Karan Desai, Andrew Mc Pressure Reservior Filter Variable Vane Pump Motor/Pump Hydraulic Accumulators Solenoid Valve Relief Valve Suction Line Since their development in 2006, hydraulic drivetrain systems have gained considerable
Adam R. Brown
2015-04-30T23:59:59.000Z
The non-perturbative instabilities of hot Kaluza-Klein spacetime are investigated. In addition to the known instability of hot space (the nucleation of 4D black holes) and the known instability of KK space (the nucleation of bubbles of nothing by quantum tunneling), we find two new instabilities: the nucleation of 5D black holes, and the nucleation of bubbles of nothing by thermal fluctuation. These four instabilities are controlled by two Euclidean instantons, with each instanton doing double duty via two inequivalent analytic continuations; thermodynamic instabilities of one are shown to be related to mechanical instabilities of the other. I also construct bubbles of nothing that are formed by a hybrid process involving both thermal fluctuation and quantum tunneling. There is an exact high-temperature/low-temperature duality that relates the nucleation of black holes to the nucleation of bubbles of nothing.
Study of the K+K- Interaction at COSY-11
M. Silarski
2010-08-21T23:59:59.000Z
In this article we present studies of the near threshold pp-->ppK+K- reaction in view of the K+K- final state interaction. The investigations include analysis of both the low-energy K+K- invariant mass distributions measured by COSY-11 collaboration at excess energies of Q = 10 MeV and Q = 28 MeV and the near threshold excitation function for the pp-->ppK+K- reaction. As a result of these studies we have estimated the K+K- scattering length more precise compared to the previous analysis based only on the analysis of the differential cross sections.
Dangerous Angular KK/Glueball Relics in String Theory Cosmology
J. F. Dufaux; L. Kofman; M. Peloso
2008-07-07T23:59:59.000Z
The presence of Kaluza-Klein particles in the universe is a potential manifestation of string theory cosmology. In general, they can be present in the high temperature bath of the early universe. In particular examples, string theory inflation often ends with brane-antibrane annihilation followed by the energy cascading through massive closed string loops to KK modes which then decay into lighter standard model particles. However, massive KK modes in the early universe may become dangerous cosmological relics if the inner manifold contains warped throat(s) with approximate isometries. In the complimentary picture, in the AdS/CFT dual gauge theory with extra symmetries, massive glueballs of various spins become the dangerous cosmological relics. The decay of these angular KK modes/glueballs, located around the tip of the throat, is caused by isometry breaking which results from gluing the throat to the compact CY manifold. We address the problem of these angular KK particles/glueballs, studying their interactions and decay channels, from the theory side, and the resulting cosmological constraints on the warped compactification parameters, from the phenomenology side. The abundance and decay time of the long-lived non-relativistic angular KK modes depend strongly on the parameters of the warped geometry, so that observational constraints rule out a significant fraction of the parameter space. In particular, the coupling of the angular KK particles can be weaker than gravitational.
K.K. Gan Siena02 1 The Ohio State University
Gan, K. K.
.K. Gan Siena02 6 l Decode Bi-Phase Mark encoded (BPM) clock and command signals from PIN diode l Input Error Rate (BER): BPM #12;K.K. Gan Siena02 7 l Training period: ~25 ms of 20 MHz clock (BPM with no data) DORIC Logic ] Ready
A LOGICAL INVERTED TAXONOMY OF SORTING ALGORITHMS S.M. Merritt K.K. Lau
Lau, Kung-Kiu
A LOGICAL INVERTED TAXONOMY OF SORTING ALGORITHMS S.M. Merritt K.K. Lau School of Computer Science taxonomy of sorting algorithms, a highÂlevel, topÂdown, conceptually simple and symmetric categorization taxonomy of sorting algorithms. This provides a logical basis for the inverted taxonomy and expands
SG Biofuels | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPIDâ€Ž | RoadmapSolarSABRE Gen Jump to: navigation, searchSENDECO2SG Biofuels
Production of K?K? pairs in proton-proton collisions below the ? meson threshold
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ye, Q. J.; Hartmann, M.; Chiladze, D.; Dymov, S.; Dzyuba, A.; Gao, H.; Gebel, R.; Hejny, V.; Kacharava, A.; Lorentz, B.; Mchedlishvili, D.; Merzliakov, S.; Mielke, M.; Mikirtytchiants, S.; Ohm, H.; Papenbrock, M.; Polyanskiy, A.; Serdyuk, V.; Stein, H. J.; Ströher, H.; Trusov, S.; Valdau, Yu.; Wilkin, C.; Wüstner, P.
2013-06-01T23:59:59.000Z
The pp?ppK?K? reaction was measured below the ? threshold at a beam energy of 2.568 GeV using the COSY-ANKE magnetic spectrometer. By assuming that the four-body phase space is distorted only by the product of two-body final-state interactions, fits to a variety of one-dimensional distributions permit the evaluation of differential and total cross sections. The shapes of the distributions in the Kp and Kpp invariant masses are reproduced only if the K?p interaction is even stronger than that found at higher energy. The cusp effect in the K?K? distribution at the K?K¯¯¯? threshold is much more clear and some evidence is also found for coupling between the K?p and K¯¯¯?n channels. However, the energy dependence of the total cross section cannot be reproduced by considering only a simple product of such pairwise final-state interactions.
KK-monopoles and G-structures in M-theory/type IIA reductions
Ulf Danielsson; Giuseppe Dibitetto; Adolfo Guarino
2015-02-17T23:59:59.000Z
We argue that M-theory/massive IIA backgrounds including KK-monopoles are suitably described in the language of G-structures and their intrinsic torsion. To this end, we study classes of minimal supergravity models that admit an interpretation as twisted reductions in which the twist parameters are not restricted to satisfy the Jacobi constraints $\\omega\\, \\omega=0$ required by an ordinary Scherk-Schwarz reduction. We first derive the correspondence between four-dimensional data and torsion classes of the internal space and, then, check the one-to-one correspondence between higher-dimensional and four-dimensional equations of motion. Remarkably, the whole construction holds regardless of the Jacobi constraints, thus shedding light upon the string/M-theory interpretation of (smeared) KK-monopoles.
K.K. Gan B Layer Workshop 1 Opto-Link Upgrade
Gan, K. K.
-Link Working Group/common projects #12;K.K. Gan B Layer Workshop 3 Need New Opto-Link for B Layer? opto current pixel opto-link architecture to take advantage of R&D effort and production experience #12;K: 14 x 1015 1-MeV neq/cm2 2.7 x 1015 p/cm2 or 71 Mrad for 24 GeV protons above estimates include 50
K.K. Gan ATLAS Pixel Week 1 New Results on Opto-Electronics
Gan, K. K.
with lower thresholds with BPM/DRX ] opto-board design is compatible with BPM/DRX PIN Current Thresholds with BPM/DRX 0 5 10 15 20 25 30 35 link#1 link#2 link#3 link#4 link#5 link#6 link#7 Ipin(mA) Opto-Board on Test Board Opto-Board on Test Board with BPM/DRX #12;K.K. Gan ATLAS Pixel Week 8 l one irradiated VCSEL
gamma+gamma --> pi+pi, K+K : leading term QCD vs handbag model
Victor L. Chernyak
2006-06-15T23:59:59.000Z
The "handbag" model was proposed as an alternative, at the present day energies, to the leading term QCD predictions for some hard exclusive processes. The recent precise data from the Belle Collaboration on the large angle cross sections $\\gamma\\gamma --> \\pi\\pi, KK $ allow a check of these two approaches to be performed. It is shown that the handbag model fails to describe the data from Belle, while the leading term QCD predictions are in reasonable agreement with these data
1SG 2SG 3SG 1PL 2PL 3PL IND.PRS -n -d -b -me -te -vad
Pentus, Mati
- PERS IMPS POS NEG POS NEG PRS IND (3)-- (3)- (4)-Takse/-akse (4)-Ta COND (3)-ksi- (3)-ks (4)-Taks IMP) , (4) -- . COND.PRS.PERS.POS.3SG -ksi- -ks. IND.PST.PERS.POS.3SG -si- -s ( ) -is ( ). PST
Production of K?K? pairs in proton-proton collisions below the ? meson threshold
Ye, Q. J.; Hartmann, M.; Chiladze, D.; Dymov, S.; Dzyuba, A.; Gao, H.; Gebel, R.; Hejny, V.; Kacharava, A.; Lorentz, B.; Mchedlishvili, D.; Merzliakov, S.; Mielke, M.; Mikirtytchiants, S.; Ohm, H.; Papenbrock, M.; Polyanskiy, A.; Serdyuk, V.; Stein, H. J.; Ströher, H.; Trusov, S.; Valdau, Yu.; Wilkin, C.; Wüstner, P.
2013-06-01T23:59:59.000Z
The pp?ppK?K? reaction was measured below the ? threshold at a beam energy of 2.568 GeV using the COSY-ANKE magnetic spectrometer. By assuming that the four-body phase space is distorted only by the product of two-body final-state interactions, fits to a variety of one-dimensional distributions permit the evaluation of differential and total cross sections. The shapes of the distributions in the K_{p} and K_{pp} invariant masses are reproduced only if the K?_{p} interaction is even stronger than that found at higher energy. The cusp effect in the K?K? distribution at the K?K¯¯¯? threshold is much more clear and some evidence is also found for coupling between the K?_{p} and K¯¯¯?n channels. However, the energy dependence of the total cross section cannot be reproduced by considering only a simple product of such pairwise final-state interactions.
Production of K?K? pairs in proton-proton collisions below the ? meson threshold
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ye, Q. J.; Hartmann, M.; Chiladze, D.; Dymov, S.; Dzyuba, A.; Gao, H.; Gebel, R.; Hejny, V.; Kacharava, A.; Lorentz, B.; et al
2013-06-01T23:59:59.000Z
The pp?ppK?K? reaction was measured below the ? threshold at a beam energy of 2.568 GeV using the COSY-ANKE magnetic spectrometer. By assuming that the four-body phase space is distorted only by the product of two-body final-state interactions, fits to a variety of one-dimensional distributions permit the evaluation of differential and total cross sections. The shapes of the distributions in the Kp and Kpp invariant masses are reproduced only if the K?p interaction is even stronger than that found at higher energy. The cusp effect in the K?K? distribution at the K?K¯¯¯? threshold is much more clear and some evidencemore »is also found for coupling between the K?p and K¯¯¯?n channels. However, the energy dependence of the total cross section cannot be reproduced by considering only a simple product of such pairwise final-state interactions.« less
T-651: Blue Coat ProxySG Discloses Potentially Sensitive Information in Core Files
Broader source: Energy.gov [DOE]
A vulnerability was reported in Blue Coat ProxySG. A local user can obtain potentially sensitive information
Advanced Security Acceleration Project for Smart Grid (ASAP-SG...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Security Acceleration Project for Smart Grid (ASAP-SG) June 12, 2013 Problem Statement: The goal of this project is to develop a set of computer and network security requirements...
SG BioFuels | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onsource History View New PagessourceRaven BiofuelsRobertsonEasements | OpenSAFL Channel Jump to:SCRSEPCOIIISESSFC LtdSG
Comprehensive amplitude analysis of ????+?-,?0?0 and K¯K below 1.5 GeV
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dai, Ling-Yun; Pennington, Michael R.
2014-08-01T23:59:59.000Z
In this paper we perform an amplitude analysis of essentially all published pion and kaon pair production data from two photon collisions below 1.5 GeV. This includes all the high statistics results from Belle, as well as older data from Mark II at SLAC, CELLO at DESY, Crystal Ball at SLAC. The purpose of this analysis is to provide as close to a model-independent determination of the ?? to meson pair amplitudes as possible. Having data with limited angular coverage, typically |cos?| more »the underlying amplitudes might appear an intractable problem. However, imposing the basic constraints required by analyticity, unitarity, and crossing-symmetry makes up for the experimentally missing information. Above 1.5 GeV multi-meson production channels become important and we have too little information to resolve the amplitudes. Nevertheless, below 1.5 GeV the two photon production of hadron pairs serves as a paradigm for the application of S-matrix techniques. Final state interactions among the meson pairs is critical to this analysis. To fix these, we include the latest ?? ? ??, K?K scattering amplitudes given by dispersive analyses, supplemented in the K?K threshold region by the recent precision Dalitz plot analysis from BaBar. With these hadronic amplitudes built into unitarity, we can constrain the overall description of ?? ? ?? and K?K datasets, both integrated and differential cross-sections, including the high statistics charged and neutral pion data from Belle. A region of solutions is found for the ?? ? ?? partial waves with both isospin 0 and 2. Since this analysis invokes coupled hadronic channels, even the relatively poor integrated cross-section data on ?? ? K?K narrows the patch of solutions to essentially a single form. For this we present the complete partial wave amplitudes, show how well they fit all the available data, and give the two photon couplings of scalar and tensor resonances that appear.« less
Comprehensive Amplitude Analysis of ????+?-, ?0?0 and K?K below 1.5 GeV
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dai, Lingyun; Pennington, Michael R.
2014-08-01T23:59:59.000Z
In this paper we perform an amplitude analysis of essentially all published pion and kaon pair production data from two photon collisions below 1.5 GeV. This includes all the high statistics results from Belle, as well as older data from Mark II at SLAC, CELLO at DESY, Crystal Ball at SLAC. The purpose of this analysis is to provide as close to a model-independent determination of the ?? to meson pair amplitudes as possible. Having data with limited angular coverage, typically |cos?| more »the underlying amplitudes might appear an intractable problem. However, imposing the basic constraints required by analyticity, unitarity, and crossing-symmetry makes up for the experimentally missing information. Above 1.5 GeV multi-meson production channels become important and we have too little information to resolve the amplitudes. Nevertheless, below 1.5 GeV the two photon production of hadron pairs serves as a paradigm for the application of S-matrix techniques. Final state interactions among the meson pairs is critical to this analysis. To fix these, we include the latest ?? ? ??, K?K scattering amplitudes given by dispersive analyses, supplemented in the K?K threshold region by the recent precision Dalitz plot analysis from BaBar. With these hadronic amplitudes built into unitarity, we can constrain the overall description of ?? ? ?? and K?K datasets, both integrated and differential cross-sections, including the high statistics charged and neutral pion data from Belle. A region of solutions is found for the ?? ? ?? partial waves with both isospin 0 and 2. Since this analysis invokes coupled hadronic channels, even the relatively poor integrated cross-section data on ?? ? K?K narrows the patch of solutions to essentially a single form. For this we present the complete partial wave amplitudes, show how well they fit all the available data, and give the two photon couplings of scalar and tensor resonances that appear.« less
Comprehensive Amplitude Analysis of ????+?-, ?0?0 and K?K below 1.5 GeV
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dai, Lingyun; Pennington, Michael R. [JLAB
2014-08-01T23:59:59.000Z
In this paper we perform an amplitude analysis of essentially all published pion and kaon pair production data from two photon collisions below 1.5 GeV. This includes all the high statistics results from Belle, as well as older data from Mark II at SLAC, CELLO at DESY, Crystal Ball at SLAC. The purpose of this analysis is to provide as close to a model-independent determination of the ?? to meson pair amplitudes as possible. Having data with limited angular coverage, typically |cos?| < 0.6-0.8, and no polarization information for reactions in which spin is an essential complication, the determination of the underlying amplitudes might appear an intractable problem. However, imposing the basic constraints required by analyticity, unitarity, and crossing-symmetry makes up for the experimentally missing information. Above 1.5 GeV multi-meson production channels become important and we have too little information to resolve the amplitudes. Nevertheless, below 1.5 GeV the two photon production of hadron pairs serves as a paradigm for the application of S-matrix techniques. Final state interactions among the meson pairs is critical to this analysis. To fix these, we include the latest ?? ? ??, K?K scattering amplitudes given by dispersive analyses, supplemented in the K?K threshold region by the recent precision Dalitz plot analysis from BaBar. With these hadronic amplitudes built into unitarity, we can constrain the overall description of ?? ? ?? and K?K datasets, both integrated and differential cross-sections, including the high statistics charged and neutral pion data from Belle. A region of solutions is found for the ?? ? ?? partial waves with both isospin 0 and 2. Since this analysis invokes coupled hadronic channels, even the relatively poor integrated cross-section data on ?? ? K?K narrows the patch of solutions to essentially a single form. For this we present the complete partial wave amplitudes, show how well they fit all the available data, and give the two photon couplings of scalar and tensor resonances that appear.
Precision measurement of $CP$ violation in $B_s^0 \\to J/\\psi K^+K^-$ decays
Aaij, Roel; Adinolfi, Marco; Affolder, Anthony; Ajaltouni, Ziad; Akar, Simon; Albrecht, Johannes; Alessio, Federico; Alexander, Michael; Ali, Suvayu; Alkhazov, Georgy; Alvarez Cartelle, Paula; Alves Jr, Antonio Augusto; Amato, Sandra; Amerio, Silvia; Amhis, Yasmine; An, Liupan; Anderlini, Lucio; Anderson, Jonathan; Andreassen, Rolf; Andreotti, Mirco; Andrews, Jason; Appleby, Robert; Aquines Gutierrez, Osvaldo; Archilli, Flavio; Artamonov, Alexander; Artuso, Marina; Aslanides, Elie; Auriemma, Giulio; Baalouch, Marouen; Bachmann, Sebastian; Back, John; Badalov, Alexey; Baesso, Clarissa; Baldini, Wander; Barlow, Roger; Barschel, Colin; Barsuk, Sergey; Barter, William; Batozskaya, Varvara; Battista, Vincenzo; Bay, Aurelio; Beaucourt, Leo; Beddow, John; Bedeschi, Franco; Bediaga, Ignacio; Belogurov, Sergey; Belous, Konstantin; Belyaev, Ivan; Ben-Haim, Eli; Bencivenni, Giovanni; Benson, Sean; Benton, Jack; Berezhnoy, Alexander; Bernet, Roland; Bertolin, Alessandro; Bettler, Marc-Olivier; van Beuzekom, Martinus; Bien, Alexander; Bifani, Simone; Bird, Thomas; Bizzeti, Andrea; Bjørnstad, Pål Marius; Blake, Thomas; Blanc, Frédéric; Blouw, Johan; Blusk, Steven; Bocci, Valerio; Bondar, Alexander; Bondar, Nikolay; Bonivento, Walter; Borghi, Silvia; Borgia, Alessandra; Borsato, Martino; Bowcock, Themistocles; Bowen, Espen Eie; Bozzi, Concezio; Brett, David; Britsch, Markward; Britton, Thomas; Brodzicka, Jolanta; Brook, Nicholas; Bursche, Albert; Buytaert, Jan; Cadeddu, Sandro; Calabrese, Roberto; Calvi, Marta; Calvo Gomez, Miriam; Campana, Pierluigi; Campora Perez, Daniel; Carbone, Angelo; Carboni, Giovanni; Cardinale, Roberta; Cardini, Alessandro; Carson, Laurence; Carvalho Akiba, Kazuyoshi; Casanova Mohr, Raimon; Casse, Gianluigi; Cassina, Lorenzo; Castillo Garcia, Lucia; Cattaneo, Marco; Cauet, Christophe; Cenci, Riccardo; Charles, Matthew; Charpentier, Philippe; Chefdeville, Maximilien; Chen, Shanzhen; Cheung, Shu-Faye; Chiapolini, Nicola; Chrzaszcz, Marcin; Cid Vidal, Xabier; Ciezarek, Gregory; Clarke, Peter; Clemencic, Marco; Cliff, Harry; Closier, Joel; Coco, Victor; Cogan, Julien; Cogneras, Eric; Cogoni, Violetta; Cojocariu, Lucian; Collazuol, Gianmaria; Collins, Paula; Comerma-Montells, Albert; Contu, Andrea; Cook, Andrew; Coombes, Matthew; Coquereau, Samuel; Corti, Gloria; Corvo, Marco; Counts, Ian; Couturier, Benjamin; Cowan, Greig; Craik, Daniel Charles; Crocombe, Andrew Christopher; Cruz Torres, Melissa Maria; Cunliffe, Samuel; Currie, Robert; D'Ambrosio, Carmelo; Dalseno, Jeremy; David, Pascal; David, Pieter; Davis, Adam; De Bruyn, Kristof; De Capua, Stefano; De Cian, Michel; De Miranda, Jussara; De Paula, Leandro; De Silva, Weeraddana; De Simone, Patrizia; Dean, Cameron Thomas; Decamp, Daniel; Deckenhoff, Mirko; Del Buono, Luigi; Déléage, Nicolas; Derkach, Denis; Deschamps, Olivier; Dettori, Francesco; Di Canto, Angelo; Di Domenico, Antonio; Dijkstra, Hans; Donleavy, Stephanie; Dordei, Francesca; Dorigo, Mirco; Dosil Suárez, Alvaro; Dossett, David; Dovbnya, Anatoliy; Dreimanis, Karlis; Dujany, Giulio; Dupertuis, Frederic; Durante, Paolo; Dzhelyadin, Rustem; Dziurda, Agnieszka; Dzyuba, Alexey; Easo, Sajan; Egede, Ulrik; Egorychev, Victor; Eidelman, Semen; Eisenhardt, Stephan; Eitschberger, Ulrich; Ekelhof, Robert; Eklund, Lars; El Rifai, Ibrahim; Elsasser, Christian; Ely, Scott; Esen, Sevda; Evans, Hannah Mary; Evans, Timothy; Falabella, Antonio; Färber, Christian; Farinelli, Chiara; Farley, Nathanael; Farry, Stephen; Fay, Robert; Ferguson, Dianne; Fernandez Albor, Victor; Ferreira Rodrigues, Fernando; Ferro-Luzzi, Massimiliano; Filippov, Sergey; Fiore, Marco; Fiorini, Massimiliano; Firlej, Miroslaw; Fitzpatrick, Conor; Fiutowski, Tomasz; Fol, Philip; Fontana, Marianna; Fontanelli, Flavio; Forty, Roger; Francisco, Oscar; Frank, Markus; Frei, Christoph; Frosini, Maddalena; Fu, Jinlin; Furfaro, Emiliano; Gallas Torreira, Abraham; Galli, Domenico; Gallorini, Stefano; Gambetta, Silvia; Gandelman, Miriam; Gandini, Paolo; Gao, Yuanning; García Pardiñas, Julián; Garofoli, Justin; Garra Tico, Jordi; Garrido, Lluis; Gascon, David; Gaspar, Clara; Gastaldi, Ugo; Gauld, Rhorry; Gavardi, Laura; Gazzoni, Giulio; Geraci, Angelo; Gersabeck, Evelina; Gersabeck, Marco; Gershon, Timothy; Ghez, Philippe; Gianelle, Alessio; Gianì, Sebastiana; Gibson, Valerie; Giubega, Lavinia-Helena; Gligorov, Vladimir; Göbel, Carla; Golubkov, Dmitry; Golutvin, Andrey; Gomes, Alvaro; Gotti, Claudio; Grabalosa Gándara, Marc; Graciani Diaz, Ricardo; Granado Cardoso, Luis Alberto; Graugés, Eugeni; Graverini, Elena; Graziani, Giacomo
2015-01-01T23:59:59.000Z
The time-dependent $CP$ asymmetry in $B_s^0 \\to J/\\psi K^+K^-$ decays is measured using $pp$ collision data, corresponding to an integrated luminosity of $3.0$fb$^{-1}$, collected with the LHCb detector at centre-of-mass energies of $7$ and $8$TeV. In a sample of 96 000 $B_s^0 \\to J/\\psi K^+K^-$ decays, the $CP$-violating phase $\\phi_s$ is measured, as well as the decay widths $\\Gamma_{L}$ and $\\Gamma_{H}$ of the light and heavy mass eigenstates of the $B_s^0-\\bar{B}_s^0$ system. The values obtained are $\\phi_s = -0.058 \\pm 0.049 \\pm 0.006$ rad, $\\Gamma_s \\equiv (\\Gamma_{L}+\\Gamma_{H})/2 = 0.6603 \\pm 0.0027 \\pm 0.0015$ps$^{-1}$, and$\\Delta\\Gamma_s \\equiv \\Gamma_{L} - \\Gamma_{H} = 0.0805 \\pm 0.0091 \\pm 0.0032$ps$^{-1}$, where the first uncertainty is statistical and the second systematic. These are the most precise single measurements of those quantities to date. A combined analysis with $B_s^{0} \\to J/\\psi \\pi^+\\pi^-$ decays gives $\\phi_s = -0.010 \\pm 0.039 $rad. All measurements are in agreement with the Sta...
Measurement of D0-D0bar Mixing using the Ratio of Lifetimes for the Decays D0->K-pi+ and K+K-
The BABAR Collaboration; B. Aubert
2009-08-05T23:59:59.000Z
We measure the rate of D0-D0bar mixing with the observable yCP=(tauKpi/tauKK)-1, where tauKK and tauKpi are respectively the mean lifetimes of CP-even D0->K+K- and CP-mixed D0->K-pi+ decays, using a data sample of 384/fb collected by the Babar detector at the SLAC PEP-II asymmetric-energy B Factory. From a sample of D0 and D0bar decays where the inital flavor of the decaying meson is not determined, we obtain yCP = [1.12 +/- 0.26 (stat) +/- 0.22 (sys)]%, which excludes the no-mixing hypothesis at 3.3 sigma, including both statistical and systematic uncertainties. This result is in good agreement with a previous Babar measurement of yCP obtained from a sample of D*+->D0pi+ events, where the D0 decays to K-pi+, K+K-, and pi+pi-, which is disjoint with the untagged D0 events used here. Combining the two results taking into account statistical and systematic uncertainties, where the systematic uncertainties are assumed to be 100% correlated, we find yCP = [1.16 +/- 0.22 (stat) +/- 0.18 (sys)]%, which excludes the no-mixing hypothesis at 4.1 sigma.
Comprehensive Amplitude Analysis of ????^{+}?^{-}, ?^{0}?^{0} and K?K below 1.5 GeV
Dai, Lingyun; Pennington, Michael R. [JLAB
2014-08-01T23:59:59.000Z
In this paper we perform an amplitude analysis of essentially all published pion and kaon pair production data from two photon collisions below 1.5 GeV. This includes all the high statistics results from Belle, as well as older data from Mark II at SLAC, CELLO at DESY, Crystal Ball at SLAC. The purpose of this analysis is to provide as close to a model-independent determination of the ?? to meson pair amplitudes as possible. Having data with limited angular coverage, typically |cos?| < 0.6-0.8, and no polarization information for reactions in which spin is an essential complication, the determination of the underlying amplitudes might appear an intractable problem. However, imposing the basic constraints required by analyticity, unitarity, and crossing-symmetry makes up for the experimentally missing information. Above 1.5 GeV multi-meson production channels become important and we have too little information to resolve the amplitudes. Nevertheless, below 1.5 GeV the two photon production of hadron pairs serves as a paradigm for the application of S-matrix techniques. Final state interactions among the meson pairs is critical to this analysis. To fix these, we include the latest ?? ? ??, K?K scattering amplitudes given by dispersive analyses, supplemented in the K?K threshold region by the recent precision Dalitz plot analysis from BaBar. With these hadronic amplitudes built into unitarity, we can constrain the overall description of ?? ? ?? and K?K datasets, both integrated and differential cross-sections, including the high statistics charged and neutral pion data from Belle. A region of solutions is found for the ?? ? ?? partial waves with both isospin 0 and 2. Since this analysis invokes coupled hadronic channels, even the relatively poor integrated cross-section data on ?? ? K?K narrows the patch of solutions to essentially a single form. For this we present the complete partial wave amplitudes, show how well they fit all the available data, and give the two photon couplings of scalar and tensor resonances that appear.
Tebo, Brad
, MnxG was overexpressed in Escherichia coli and used to generate polyclonal antibodies. Western blotAbstract Dormant spores of the marine Bacillus sp. strain SG-1 catalyze the oxidation of manganese Introduction Mature spores of the marine Bacillus sp. strain SG-1 oxi- dize soluble manganese [Mn(II)], thereby
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Aaltonen, T. [Helsinki Inst. of Physics; Gonzalez, Alvarez B. [Oviedo U., Cantabria Inst. of Phys.; Amerio, S. [INFN, Padua; Amidei, D. [Michigan U.; Anastassov, A. [Northwestern U.; Annovi, A. [Frascati; Antos, J [Comenius U.; Apollinari, G. [Fermilab; Appel, J. A [Fermilab; Apresyan, A. [Purdue; Arisawa, T. [Waseda U., Dubna, JINR
2011-08-01T23:59:59.000Z
We report the first reconstruction in hadron collisions of the suppressed decays B-? D(? K+?-)K- and B-? D(? K+?-)?- decays, sensitive to the CKM phase {gamma}, using data from 7 fb-1 of integrated luminosity collected by the CDF II detector at the Tevatron collider. We reconstruct a signal for the B-? D(? K+?-)K- suppressed mode with a significance of 3.2 standard deviations, and measure the ratios of the suppressed to favored branching fractions R(K) = [22.0 ± 8.6(stat) ± 2.6(syst)] x 10-3, R+(K) = [42.6 ± 13.7(stat) ± 2.8(syst)] x 10-3, R-(K) = [3.8 ± 10.3(stat) ± 2.7(syst)] x 10-3 as well as the direct CP-violating asymmetry A(K) = -0.82±0.44(stat)±0.09(syst) of this mode. Corresponding quantities for B- ? D(? K+?-)?- decay are also reported.
S. Giridhar; D. L. Lambert; G. Gonzalez
2000-08-28T23:59:59.000Z
Chemical compositions are derived from high-resolution spectra for five field SRd variables. These supergiants not previously analysed are shown to be metal-poor: KK Aql with [Fe/H] = -1.2, AG Aur with [Fe/H] = -1.8, Z Aur with [Fe/H] = -1.4, W LMi with [Fe/H] = -1.1, and WW Tau with [Fe/H] = -1.1. Their compositions are, except for two anomalies, identical to within the measurement errors with the compositions of subdwarfs, subgiants, and less evolved giants of the same [Fe/H]. One anomaly is an s-process enrichment for KK Aql, the first such enrichment reported for a SRd variable. The second and more remarkable anomaly is a strong lithium enrichment for W LMi, also a first for field SRds. The Li I 6707 A profile is not simply that of a photospheric line but includes strong absorption from red-shifted gas, suggesting, perhaps, that lithium enrichment results from accretion of Li-rich gas. This potential clue to lithium enrichment is discussed in light of various proposals for lithium synthesis in evolved stars.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Aaltonen, T.; Gonzalez, Alvarez B.; Amerio, S.; Amidei, D.; Anastassov, A.; Annovi, A.; Antos, J; Apollinari, G.; Appel, J. A; Apresyan, A.; et al
2011-08-01T23:59:59.000Z
We report the first reconstruction in hadron collisions of the suppressed decays B-? D(? K+?-)K- and B-? D(? K+?-)?- decays, sensitive to the CKM phase {gamma}, using data from 7 fb-1 of integrated luminosity collected by the CDF II detector at the Tevatron collider. We reconstruct a signal for the B-? D(? K+?-)K- suppressed mode with a significance of 3.2 standard deviations, and measure the ratios of the suppressed to favored branching fractions R(K) = [22.0 ± 8.6(stat) ± 2.6(syst)] x 10-3, R+(K) = [42.6 ± 13.7(stat) ± 2.8(syst)] x 10-3, R-(K) = [3.8 ± 10.3(stat) ± 2.7(syst)] x 10-3more »as well as the direct CP-violating asymmetry A(K) = -0.82±0.44(stat)±0.09(syst) of this mode. Corresponding quantities for B- ? D(? K+?-)?- decay are also reported.« less
Shefferson, Richard P.
Weather and herbivores influence fertility in the endangered fern Botrychium multifidum (S.G. Gmel Fluctuations in local weather conditions and other stochastic processes are important factors affecting species-008-9501-3 #12;Weather conditions are important sources of environmental stochasticity and have been shown
Banaji,. Murad
2008-01-01T23:59:59.000Z
Großmann, H., Schwabe, R. & Gilmour S.G. (2009). Some new designs for firstorder interactions in 2K). Optimal design of factorial paired comparison experiments in the presence of withinpair order effects threelevel response surface designs. Großmann, H. & Schwabe, R. (2007). The relationship between optimal
DIRECT STEAM GENERATION USING THE SG4 500m2 PARABOLOIDAL DISH CONCENTRATOR
steam turbine power block. As well as DSG, the ANU group is investigating energy conversion options conveyed the steam to our 50 kWe steam turbine; the new dish is oversized for the current engine, so someDIRECT STEAM GENERATION USING THE SG4 500m2 PARABOLOIDAL DISH CONCENTRATOR Greg Burgess 1 , Keith
Vazquez Sierra, Carlos
2015-01-01T23:59:59.000Z
CP violating phase ?s appears in b ? anti(c)cs transitions due to the interference between the direct decay and the decay after the Bs?-anti(Bs?) mixing. In SM, ?s = -2?s + ?P, where -2?s is related to CKM matrix elements and ?P is the penguin phase where contributions due to penguin diagrams are taken into account, being this ?P phase also the main source of theoretical uncertainty in ?s. This ?s phase is very sensitive to possible NP (new particles contributing to box diagrams during the mixing, several possible BSM scenarios are presented), so ?P should be estimated in order to disentangle these penguin pollution contributions from possible NP contributions, ?s(LHCb) = -2?s + ?P + ?NP. The decay Bs? ? J/? K?K? is a golden decay for ?s measurement: latest LHCb combined result also including Bs? ? J/? ???? measurements is ?s = -0.010 ± 0.039 rad, which is in excellent agreement with SM. The penguin pollution phase ?P can be estimated using B? ? J/? ?? and B...
CDF Collaboration; T. Aaltonen; S. Amerio; D. Amidei; A. Anastassov; A. Annovi; J. Antos; G. Apollinari; J. A. Appel; T. Arisawa; A. Artikov; J. Asaadi; W. Ashmanskas; B. Auerbach; A. Aurisano; F. Azfar; W. Badgett; T. Bae; A. Barbaro-Galtieri; V. E. Barnes; B. A. Barnett; P. Barria; P. Bartos; M. Bauce; F. Bedeschi; S. Behari; G. Bellettini; J. Bellinger; D. Benjamin; A. Beretvas; A. Bhatti; K. R. Bland; B. Blumenfeld; A. Bocci; A. Bodek; D. Bortoletto; J. Boudreau; A. Boveia; L. Brigliadori; C. Bromberg; E. Brucken; J. Budagov; H. S. Budd; K. Burkett; G. Busetto; P. Bussey; P. Butti; A. Buzatu; A. Calamba; S. Camarda; M. Campanelli; F. Canelli; B. Carls; D. Carlsmith; R. Carosi; S. Carrillo; B. Casal; M. Casarsa; A. Castro; P. Catastini; D. Cauz; V. Cavaliere; A. Cerri; L. Cerrito; Y. C. Chen; M. Chertok; G. Chiarelli; G. Chlachidze; K. Cho; D. Chokheli; A. Clark; C. Clarke; M. E. Convery; J. Conway; M. Corbo; M. Cordelli; C. A. Cox; D. J. Cox; M. Cremonesi; D. Cruz; J. Cuevas; R. Culbertson; N. d'Ascenzo; M. Datta; P. de Barbaro; L. Demortier; L. Marchese; M. Deninno; F. Devoto; M. D'Errico; A. Di Canto; B. Di Ruzza; J. R. Dittmann; M. D'Onofrio; S. Donati; M. Dorigo; A. Driutti; K. Ebina; R. Edgar; A. Elagin; R. Erbacher; S. Errede; B. Esham; S. Farrington; J. P. Fernández Ramos; R. Field; G. Flanagan; R. Forrest; M. Franklin; J. C. Freeman; H. Frisch; Y. Funakoshi; C. Galloni; A. F. Garfinkel; P. Garosi; H. Gerberich; E. Gerchtein; S. Giagu; V. Giakoumopoulou; K. Gibson; C. M. Ginsburg; N. Giokaris; P. Giromini; V. Glagolev; D. Glenzinski; M. Gold; D. Goldin; A. Golossanov; G. Gomez; G. Gomez-Ceballos; M. Goncharov; O. González López; I. Gorelov; A. T. Goshaw; K. Goulianos; E. Gramellini; C. Grosso-Pilcher; R. C. Group; J. Guimaraes da Costa; S. R. Hahn; J. Y. Han; F. Happacher; K. Hara; M. Hare; R. F. Harr; T. Harrington-Taber; K. Hatakeyama; C. Hays; J. Heinrich; M. Herndon; A. Hocker; Z. Hong; W. Hopkins; S. Hou; R. E. Hughes; U. Husemann; M. Hussein; J. Huston; G. Introzzi; M. Iori; A. Ivanov; E. James; D. Jang; B. Jayatilaka; E. J. Jeon; S. Jindariani; M. Jones; K. K. Joo; S. Y. Jun; T. R. Junk; M. Kambeitz; T. Kamon; P. E. Karchin; A. Kasmi; Y. Kato; W. Ketchum; J. Keung; B. Kilminster; D. H. Kim; H. S. Kim; J. E. Kim; M. J. Kim; S. B. Kim; S. H. Kim; Y. K. Kim; Y. J. Kim; N. Kimura; M. Kirby; K. Knoepfel; K. Kondo; D. J. Kong; J. Konigsberg; A. V. Kotwal; M. Kreps; J. Kroll; M. Kruse; T. Kuhr; M. Kurata; A. T. Laasanen; S. Lammel; M. Lancaster; K. Lannon; G. Latino; H. S. Lee; J. S. Lee; S. Leo; S. Leone; J. D. Lewis; A. Limosani; E. Lipeles; A. Lister; H. Liu; Q. Liu; T. Liu; S. Lockwitz; A. Loginov; A. Lucà; D. Lucchesi; J. Lueck; P. Lujan; P. Lukens; G. Lungu; J. Lys; R. Lysak; R. Madrak; P. Maestro; S. Malik; G. Manca; A. Manousakis-Katsikakis; F. Margaroli; P. Marino; K. Matera; M. E. Mattson; A. Mazzacane; P. Mazzanti; R. McNulty; A. Mehta; P. Mehtala; C. Mesropian; T. Miao; D. Mietlicki; A. Mitra; H. Miyake; S. Moed; N. Moggi; C. S. Moon; R. Moore; M. J. Morello; A. Mukherjee; Th. Muller; P. Murat; M. Mussini; J. Nachtman; Y. Nagai; J. Naganoma; I. Nakano; A. Napier; J. Nett; C. Neu; T. Nigmanov; L. Nodulman; S. Y. Noh; O. Norniella; L. Oakes; S. H. Oh; Y. D. Oh; I. Oksuzian; T. Okusawa; R. Orava; L. Ortolan; C. Pagliarone; E. Palencia; P. Palni; V. Papadimitriou; W. Parker; G. Pauletta; M. Paulini; C. Paus; T. J. Phillips; E. Pianori; J. Pilot; K. Pitts; C. Plager; L. Pondrom; S. Poprocki; K. Potamianos; F. Prokoshin; A. Pranko; F. Ptohos; G. Punzi; I. Redondo Fernández; P. Renton; M. Rescigno; F. Rimondi; L. Ristori; A. Robson; T. Rodriguez; S. Rolli; M. Ronzani; R. Roser; J. L. Rosner; F. Ruffini; A. Ruiz; J. Russ; V. Rusu; W. K. Sakumoto; Y. Sakurai; L. Santi; K. Sato; V. Saveliev; A. Savoy-Navarro; P. Schlabach; E. E. Schmidt; T. Schwarz; L. Scodellaro; F. Scuri; S. Seidel; Y. Seiya; A. Semenov; F. Sforza; S. Z. Shalhout; T. Shears; P. F. Shepard; M. Shimojima; M. Shochet; I. Shreyber-Tecker; A. Simonenko; K. Sliwa; J. R. Smith; F. D. Snider; V. Sorin; H. Song; M. Stancari; R. St. Denis; D. Stentz; J. Strologas; Y. Sudo; A. Sukhanov; I. Suslov; K. Takemasa; Y. Takeuchi; J. Tang; M. Tecchio; P. K. Teng; J. Thom; E. Thomson; V. Thukral; D. Toback; S. Tokar; K. Tollefson; T. Tomura; D. Tonelli; S. Torre; D. Torretta; P. Totaro; M. Trovato; F. Ukegawa; S. Uozumi; F. Vázquez; G. Velev; C. Vellidis; C. Vernieri; M. Vidal; R. Vilar; J. Vizán; M. Vogel; G. Volpi; P. Wagner; R. Wallny; S. M. Wang; D. Waters; W. C. Wester III; D. Whiteson; A. B. Wicklund; S. Wilbur; H. H. Williams; J. S. Wilson; P. Wilson; B. L. Winer; P. Wittich; S. Wolbers; H. Wolfe; T. Wright; X. Wu; Z. Wu; K. Yamamoto; D. Yamato; T. Yang; U. K. Yang; Y. C. Yang; W. -M. Yao; G. P. Yeh; K. Yi; J. Yoh; K. Yorita; T. Yoshida; G. B. Yu; I. Yu; A. M. Zanetti; Y. Zeng; C. Zhou; S. Zucchelli
2015-01-06T23:59:59.000Z
We report a measurement of the indirect CP-violating asymmetries ($A_{\\Gamma}$) between effective lifetimes of anticharm and charm mesons reconstructed in $D^0\\to K^+ K^-$ and $D^0\\to \\pi^+\\pi^-$ decays. We use the full data set of proton-antiproton collisions collected by the Collider Detector at Fermilab experiment and corresponding to $9.7$~fb$^{-1}$ of integrated luminosity. The strong-interaction decay $D^{*+}\\to D^0\\pi^+$ is used to identify the meson at production as $D^0$ or $\\overline{D}^0$. We statistically subtract $D^0$ and $\\overline{D}^0$ mesons originating from $b$-hadron decays and measure the yield asymmetry between anticharm and charm decays as a function of decay time. We measure $A_\\Gamma (K^+K^-) = (-0.19 \\pm 0.15 (stat) \\pm 0.04 (syst))\\%$ and $A_\\Gamma (\\pi^+\\pi^-)= (-0.01 \\pm 0.18 (stat) \\pm 0.03 (syst))\\%$. The results are consistent with the hypothesis of CP symmetry and their combination yields $A_\\Gamma = (-0.12 \\pm 0.12)\\%$.
Ecosystem Approaches for Fisheries Management 609 Alaska Sea Grant College Program AK-SG-99-01, 1999
Ecosystem Approaches for Fisheries Management 609 Alaska Sea Grant College Program · AK-SG-99-01, 1999 Ecosystem Considerations and the Limitations of Ecosystem Models in Fisheries Management: Insights for the implementation of ecosystem approaches. The major criticism of single- species models is that they cannot predict
Copy of FINAL SG Demo Project List 11 13 09-External.xls | Department of
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362Transmission: CommentsVirginia. DOCUMENTSDEA hasInSeptemberEnergy Copy of FINAL SG Demo
Seismic Tomography Of Pg And Sg/lg And Its Use For Average Upper Crust Structure In Eurasia
Steck, Lee K [Los Alamos National Laboratory; Phillips, W Scott [Los Alamos National Laboratory; Rowe, C A [Los Alamos National Laboratory; Stead, R J [Los Alamos National Laboratory; Begnaud, M L [MSU
2008-01-01T23:59:59.000Z
Tomographic inversion oftravel times from first arriving compressional and shear waves for velocity structure has been applied with great success at all length scales, ranging from the laboratory bench-top to the entire Earth. Inversion of later arriving phases has seen a much more limited application. In this paper we present inversion results for regional Pg and Sg for the Eurasian continent to explore its use for understanding average upper crustal velocity structure. Inversion is performed using a damped, smoothed LSQR implementation that solves for site and event terms as well as for velocity along great circle paths between the source and receiver. Results are broadly consistent with published upper crustal velocities for the region. A spotcomparison of Vp/Vs from local and regional studies also compares well with the ratio of observed Pg to Sg velocities from our study where resolution is high. Resolution is determined through the use of checkerboard tests, and these suggest that in regions where data density is high we can resolve features down to at least 2 deg, with 4 deg possible over broader areas. RMS residual reductions are on the order of25% for Sg and 30% for Pg.
Experimental characterization of pressure drops and channel instabilities in helical coil SG tubes
Colombo, M.; Cammi, A.; De Amicis, J.; Ricotti, M. E. [Politecnico di Milano, Dept. of Energy, Nuclear Engineering Div. - CeSNEF, Via La Masa 34, 20156, Milano (Italy)
2012-07-01T23:59:59.000Z
Helical tube heat exchangers provide better heat transfer characteristics, an improved capability to accommodate stresses due to thermal expansions and a more compact design with respect to straight tube heat exchangers. For these advantages they are considered as an option for the Steam Generator (SG) of many new reactor projects of Generation III+ and Generation IV. In particular, their compactness fits well with the requirements of Small-medium Modular Reactors (SMRs) of integral design, where all the primary system components are located inside the reactor vessel. In this framework, thermal hydraulics of helical pipes has been studied in recent years by Politecnico di Milano in different experimental campaigns. Experiments have been carried out in a full-scale open loop test facility installed at SIET labs in Piacenza (Italy)), to simulate the SG of a typical SMR. The facility includes two helical pipes (1 m coil diameter, 32 m length, 8 m height), connected via lower and upper headers. Following recently completed experimental campaigns dedicated to pressure drops and density wave instabilities, this paper deals with a new experimental campaign focused on both pressure drops (single-phase flow and two-phase flow, laminar and turbulent regimes) and flow instabilities. The availability of a large number of experimental data, in particular on two-phase flow, is of fundamental interest for correlation development, model validation and code assessment. Two-phase pressure drops have been measured in adiabatic conditions, ranging from 200 to 600 kg/m{sup 2}s for the mass flux, from 30 to 60 bar for the pressure and from 0.1 to 1.0 for the flow quality. The channel characteristics mass flow rate - pressure drop has been determined experimentally in the range 10-40 bar, varying the mass flow rate at a fixed value of the thermal flux. In addition, single-phase pressure drops have been measured in both laminar and turbulent conditions. Density wave instabilities have been studied at mass flux from 100 to 400 kg/m{sup 2}s and pressure from 10 to 20 bar, to confirm the particular behavior of the stability boundary in helical geometry at low pressure and low mass flow rate. Finally, starting from the unstable regions identified from the experimental channel characteristics, Ledinegg type instabilities have been investigated to drawn stability maps with complete stable and unstable regions in the dimensionless plane N sub-N pch. (authors)
Seul, K.W.; Bang, Y.S.; Lee, S.; Kim, H.J. [Korea Inst. of Nuclear Safety, Taejon (Korea, Republic of)
1996-09-01T23:59:59.000Z
The objective of the present work is to identify the predictability of RELAP5/MOD3.1 regarding thermal-hydraulic behavior during a steam generator tube rupture (SGTR). To evaluate the computed results, LSTF SB-SG-06 test data simulating the SGTR that occurred at the Mihama Unit 2 in 1991 are used. Also, some sensitivity studies of the code change in RELAP5, the break simulation model, and the break valve discharge coefficient are performed. The calculation results indicate that the RELAP5/MOD3.1 code predicted well the sequence of events and the major phenomena during the transient, such as the asymmetric loop behavior, reactor coolant system (RCS) cooldown and heat transfer by natural circulation, the primary and secondary system depressurization by the pressurizer auxiliary spray and the steam dump using the intact loop steam generator (SG) relief valve, and so on. However, there are some differences from the experimental data in the number of the relief valve cycling in the affected SG, and the flow regime of the hot leg with the pressurizer, and the break flow rates. Finally, the calculation also indicates that the coolant in the core could remain in a subcooled state as a result of the heat transfer caused by the natural circulation flow even if the reactor coolant pumps (RCPs) turned off and that the affected SG could be properly isolated to minimize the radiological release after the SGTR.
Toyo Aluminium KK | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPIDâ€Ž |SpaceThe German Windfield |
Canadian Solar Japan KK | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-aBeijingCalifornia/Incentives < CaliforniaCampbell, New York:CamstarCanadian Solar
Zhou, Yaoqi
A Systematic Analysis of Epigenetic Genes across Different Stages of Lung Adenocarcinoma Akshay across different stages of lung adenocarcinoma (LUAD). Method: An integrative system biology approach
Multistrange Baryon production from strangeness-exchange reactions
Li, Changhui
2002-01-01T23:59:59.000Z
77 x g ) ? i gpKK(KrO?K ? B?K7K) . P', ? ig KK(KO?K ? O?KK)id", ? i gPKK(KO?K ? B?KK) P) ? ig ~ (KrK"" O?r7 ? B?KrK'" if) + H. c, ? ig ~ ?(KK*"O?q ? O?KK*"rl) + H. c, Ap 7PZ O?v7+H. c, m. '' . fxEEL sg E O m)) :- ' "(r B r7)~:- m. " A7s7p.... 4) (A. 5) (A. 6) 3) KE~x=: Mt = gz*sc grt. ns (r r )? a b g ? q"qt'/ms'. t ? mrna. fKn:- fmzz t Vt ~ t te r. mrna m~ tt (Prt, s + P~~s) Ii "), .? . ?"? I", 1 2 =tlfrrt(mn ? II?)$', . Z'b mn (A. 7) (A. g) fKZ=- mK fKA=- m7t f z...
Barber, James R.
2013-01-01T23:59:59.000Z
/PICJ/Vol00000/130325/APPFile/SG-PICJ130325.3d (PIC) [PREPRINTER stage] Original Article The use the detailed implementation of the contact and friction laws. The reduced stiffness matrix is also an essential loading. Keywords Contact problems, static reduction, shakedown, Coulomb friction, substructuring, finite
and Munindar P. Singh Department of Computer Science North Carolina State University Raleigh, NC 27695-8206, USA {nvdesai, akchopra, singh}@ncsu.edu Abstract A variety of business relationships in open settings reified, and possibly conditionalized (Singh 1999). For example, a merchant may commit to a customer
Resonances in Coupled ?K??K Scattering from Quantum Chromodynamics
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dudek, Jozef J.; Edwards, Robert G.; Thomas, Christopher E.; Wilson, David J.
2014-10-01T23:59:59.000Z
Using first-principles calculation within Quantum Chromodynamics, we are able to reproduce the pattern of experimental strange resonances which appear as complex singularities within coupled ?K, ?K scattering amplitudes. We make use of numerical computation within the lattice discretized approach to QCD, extracting the energy dependence of scattering amplitudes through their relation- ship to the discrete spectrum of the theory in a finite-volume, which we map out in unprecedented detail.
Nippon Yusen KK NYK Link | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaPLawrence County,1980) | OpenAl., 2001) |New Berlin,Newark,Nick's UtilityNinilchik, Alaska:Assn,Nippon
Resonances in Coupled ?K-?K Scattering from Quantum Chromodynamics
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dudek, Jozef J.; Edwards, Robert G.; Thomas, Christopher E.; Wilson, David J.
2014-10-01T23:59:59.000Z
Using first-principles calculation within Quantum Chromodynamics, we are able to reproduce the pattern of experimental strange resonances which appear as complex singularities within coupled ?K, ?K scattering amplitudes. We make use of numerical computation within the lattice discretized approach to QCD, extracting the energy dependence of scattering amplitudes through their relation- ship to the discrete spectrum of the theory in a finite-volume, which we map out in unprecedented detail.
FIBERWISE KK-EQUIVALENCE OF CONTINUOUS FIELDS OF C ...
2008-01-04T23:59:59.000Z
Abstract. Let A and B be separable nuclear continuous C(X)-algebras over a fi- nite dimensional compact metrizable space X. It is shown that an element ? of the
Hao, Liang; Zhao, Yiqing; Hu, Xiaoyan; Zou, Shiyang [Institute of Applied Physics and Computational Mathematics, Beijing 100094 (China); Yang, Dong; Wang, Feng; Peng, Xiaoshi; Li, Zhichao; Li, Sanwei; Xu, Tao; Wei, Huiyue [Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, Sichuan 621900 (China); Liu, Zhanjun; Zheng, Chunyang, E-mail: zheng-chunyang@iapcm.ac.cn [Institute of Applied Physics and Computational Mathematics, Beijing 100094 (China); Key Laboratory of HEDP of the Ministry of Education, CAPT, Peking University, Beijing 100871 (China)
2014-07-15T23:59:59.000Z
Experiments about the observations of stimulated Raman backscatter (SRS) and stimulated Brillouin backscatter (SBS) in Hohlraum were performed on Shenguang-III (SG-III) prototype facility for the first time in 2011. In this paper, relevant experimental results are analyzed for the first time with a one-dimension spectral analysis code, which is developed to study the coexistent process of SRS and SBS in Hohlraum plasma condition. Spectral features of the backscattered light are discussed with different plasma parameters. In the case of empty Hohlraum experiments, simulation results indicate that SBS, which grows fast at the energy deposition region near the Hohlraum wall, is the dominant instability process. The time resolved spectra of SRS and SBS are numerically obtained, which agree with the experimental observations. For the gas-filled Hohlraum experiments, simulation results show that SBS grows fastest in Au plasma and amplifies convectively in C{sub 5}H{sub 12} gas, whereas SRS mainly grows in the high density region of the C{sub 5}H{sub 12} gas. Gain spectra and the spectra of backscattered light are simulated along the ray path, which clearly show the location where the intensity of scattered light with a certain wavelength increases. This work is helpful to comprehend the observed spectral features of SRS and SBS. The experiments and relevant analysis provide references for the ignition target design in future.
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma | Department ofEnergy 9ofPressureDemolition0/353/R1COLORADOORDER PATRICIA HOFFMAN ACTING ASSISTANT
Dorsett, D., and Merkenschlager, M. (2013). Curr. Opin. Cell Biol. 25, 327333.
von Andrian, Ulrich H.
2013-01-01T23:59:59.000Z
, M.B., Kundaje, A., Hariharan, M., Landt, S.G., Yan, K.K., Cheng, C., Mu, X.J., Khurana, E., Rozowsky.M., Acht- man, J.C., Jain, D.P., Cheng, Y., Hardison, R.C., and Blobel, G.A. (2012). Cell 150, 725. (2009). Genome Biol. 10, R80. Schaaf, C.A., Kwak, H., Koenig, A., Misulovin, Z., Gohara, D.W., Watson, A
A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions
Lee, Wenke
, Rahul A. Nimbalkar 1 , Kam K. Yee 1 , Sunil B. Patil 1 , Pragneshkumar H. Desai 1 , Thuan T. Tran 1
Understanding the Super-sized traffic of the Super Bowl Jeffrey Erman, K.K. Ramakrishnan
Greenberg, Albert
@acm.org. Copyright 20XX ACM X-XXXXX-XX-X/XX/XX ...$15.00. The 2013 Superbowl in Febrary at the New Orleans Superdome
6d (2, 0) Theory and M5 Branes: A KK Mode Approach
Hu, Shan
2013-07-16T23:59:59.000Z
series, Ar, r = 1; 2 and Dr, r = 3; 4 and three exceptional cases E6, E7 and E8. Suppose f!aj!a 2 H2(M)g is a basis of 2-forms, while fCa2g is the dual 2-cycles, then there is a one-to-one correspondence between the node of each simply laced.... Here, the string refers to the type IIB string. Under the S-duality transformation, NS5 brane becomes the D5 brane, while the fundamental strings on NS5 becomes the D string on D5. In type IIB the NS5-F1 and the D5-D1 bound state both exist. The e...
S09 Symposium KK, Structure-Property Relationships in Biomineralized and Biomimetic Composites
David Kisailus; Lara Estroff; Himadri S. Gupta; William J. Landis; Pablo D. Zavattieri
2010-06-07T23:59:59.000Z
The technical presentations and discussions at this symposium disseminated and assessed current research and defined future directions in biomaterials research, with a focus on structure-function relationships in biological and biomimetic composites. The invited and contributed talks covered a diverse range of topics from fundamental biology, physics, chemistry, and materials science to potential applications in developing areas such as light-weight composites, multifunctional and smart materials, biomedical engineering, and nanoscaled sensors. The invited speakers were chosen to create a stimulating program with a mixture of established and junior faculty, industrial and academic researchers, and American and international experts in the field. This symposium served as an excellent introduction to the area for younger scientists (graduate students and post-doctoral researchers). Direct interactions between participants also helped to promote potential future collaborations involving multiple disciplines and institutions.
Production of K?K? pairs in proton-proton collisions at 2.83 GeV
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ye, Q. J.; Hartmann, M.; Maeda, Y.; Barsov, S.; Büscher, M.; Chiladze, D.; Dymov, S.; Dzyuba, A.; Gao, H.; Gebel, R.; et al
2012-03-01T23:59:59.000Z
Differential and total cross sections for the pp?ppK?K? reaction have been measured at a proton beam energy of 2.83 GeV using the COSY-ANKE magnetic spectrometer. Detailed model descriptions fitted to a variety of one-dimensional distributions permit the separation of the pp?pp? cross section from that of non-? production. The differential spectra show that higher partial waves represent the majority of the pp?pp? total cross section at an excess energy of 76 MeV, whose energy dependence would then seem to require some s-wave ?p enhancement near threshold. The non-? data can be described in terms of the combined effects of two-bodymore »final state interactions using the same effective scattering parameters determined from lower energy data.« less
Production of K?K? pairs in proton-proton collisions at 2.83 GeV
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ye, Q. J.; Hartmann, M.; Maeda, Y.; Barsov, S.; Büscher, M.; Chiladze, D.; Dymov, S.; Dzyuba, A.; Gao, H.; Gebel, R.; Hejny, V.; Kacharava, A.; Keshelashvili, I.; Kiselev, Yu. T.; Khoukaz, A.; Koptev, V. P.; Kulessa, P.; Kulikov, A.; Lorentz, B.; Mersmann, T.; Merzliakov, S.; Mikirtytchiants, S.; Nekipelov, M.; Ohm, H.; Paryev, E. Ya.; Polyanskiy, A.; Serdyuk, V.; Stein, H. J.; Ströher, H.; Trusov, S.; Valdau, Yu.; Wilkin, C.; Wüstner, P.
2012-03-01T23:59:59.000Z
Differential and total cross sections for the pp?ppK?K? reaction have been measured at a proton beam energy of 2.83 GeV using the COSY-ANKE magnetic spectrometer. Detailed model descriptions fitted to a variety of one-dimensional distributions permit the separation of the pp?pp? cross section from that of non-? production. The differential spectra show that higher partial waves represent the majority of the pp?pp? total cross section at an excess energy of 76 MeV, whose energy dependence would then seem to require some s-wave ?p enhancement near threshold. The non-? data can be described in terms of the combined effects of two-body final state interactions using the same effective scattering parameters determined from lower energy data.
Orion: A Software Project Search Engine with Integrated Diverse Software Artifacts
Paris-Sud XI, Université de
@labri.fr, ferdianthung@smu.edu.sg, davidlo@smu.edu.sg, lxjiang@smu.edu.sg, reveillere@labri.fr Abstract
Effects of nonlinearity and wave directionality on the use of Morison equation
Chen, Weida
1993-01-01T23:59:59.000Z
difference frequency terms in the j direction are qT p(s)( ) k;kjg coshk, (z+ h)coshk, (z+ h) 4 cosh k;k cosh kjk (k. sin 8 ? k; sin gi) cos(er ? ej) (40) (, )( ) k;kjg cz sinh k, (z + k) sinh kj(z + k) 4 cosh k, k cosh kjk (kj sin Hj ? k; sin gi) (41...;, 8j)(k; cos8; ? kj cos 81)(w; ? wj) g[k, ? kj[ ? (w; ? wj)' Je ? ~l'~ [(zr + h) ? ~I I lk, -s sg 1 (98) (b) transverse direction g: Substitute equation (13) & (18) into equation (92) M = f Fg ~ (h+ z)dz eq 22 C pV'(')(-) (k+. )d. ?D A(ai, a...
SG Network System Requirements Specification- Interim Release 3 |
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma | Department ofEnergy 9ofPressureDemolition0/353/R1COLORADOORDER
Microsoft PowerPoint - Create Business Case for SG Implement...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modern Grid Strategy Smart Grid Newsletter EPRI Intelligrid Galvin Electricity Initiative GridWise Alliance GridWise Architecture Council European SmartGrid Technology Platform 18...
Materials Data on Pr (SG:8) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ho (SG:166) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YMn12 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on PI3 (SG:173) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Dy (SG:166) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Er (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YB2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on La (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tb (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Dy (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YZn (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tm (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Lu (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KHF2 (SG:140) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H2 (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KPHNO2 (SG:148) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HIO3 (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HN (SG:53) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UN (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YS (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on URh3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UBi (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UP (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on B (SG:166) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Fe (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nd (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KC10 (SG:204) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Se (SG:148) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ga (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on S (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on WSCl4 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YS2 (SG:227) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VSO5 (SG:85) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YUO4 (SG:123) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YPb3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
2012 SG Peer Review - Recovery Act: Pacific Northwest Smart Grid...
Broader source: Energy.gov (indexed) [DOE]
Management Approach 6 Metrics & Benefits Plan Conceptual Design Equipment Planning Data Collection and Reporting Asset System Non- Transactive Final Reporting & Operational...
Materials Data on SO3 (SG:33) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SO3 (SG:33) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Defect specific maintenance of SG tubes -- How safe is it?
Cizelj, L.; Mavko, B.; Dvorsek, T. [Jozef Stefan Institute, Ljubljana (Slovenia)
1997-02-01T23:59:59.000Z
The efficiency of the defect specific plugging criterion for outside diameter stress corrosion cracking at tube support plates is assessed. The efficiency is defined by three parameters: (1) number of plugged tubes, (2) probability of steam generator tube rupture and (3) predicted accidental leak rate through the defects. A probabilistic model is proposed to quantify the probability of tube rupture, while procedures available in literature were used to define the accidental leak rates. The defect specific plugging criterion was then compared to the performance of traditional (45%) plugging criterion using realistic data from Krsko nuclear power plant. Advantages of the defect specific approach over the traditional one are clearly shown. Some hints on the optimization of safe life of steam generator are also given.
Materials Data on UAl2 (SG:227) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VOs (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VFe (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on La (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
2012 SG Peer Review - Recovery Act: Secure Interoperable Open...
Broader source: Energy.gov (indexed) [DOE]
Project Objective Life-cycle Funding FY10 - FY13 45.4 m Technical Scope (Insert graphic here) 2 *Integrate Legacy and Smart Grid information systems *Integrate external...
2012 SG Peer Review - Recovery Act: Irvine Smart Grid Demonstration...
Broader source: Energy.gov (indexed) [DOE]
RD&D Needs Technical Challenges g Energy Smart Customer Devices * Impact of multiple Zero Net Energy technologies (grid and residential load) * PEV load management using...
Materials Data on VPO4 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Microsoft Word - SG_Roadmap_9-16.doc
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 of Thomas P.Oil,J. B. Cardell SmithInspections and Special Council|1 New iandSummaryGRANT
Microsoft Word - BBEE_BPA_in_template_SG__011013.doc
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy Michigan:RECORD OF DECISION GRANTINGP R I L 2 0What are
Materials Data on Be (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KPb (SG:142) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KSb2 (SG:12) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nd (SG:229) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Microsoft Word - BBEE_BPA_in_template_SG__011013.doc
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
multiple Expected Savings: 2% Puget Sound Energy (IOU) - Home Energy Reports Seattle City Light - Home Energy Reports Snohomish PUD - Energy Challenge Energy Trust of Oregon (IOU)...
Materials Data on UPS (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on N2 (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VO2 (SG:139) by Materials Project
Kristin Persson
2014-11-14T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KSi (SG:218) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Yb (SG:225) by Materials Project
Kristin Persson
2014-11-14T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VPt2 (SG:71) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nd (SG:229) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
2012 SG Peer Review - Recovery Act: LADWP Smart Grid Regional...
Funding (K) FY1011 - FY1516 60,280K Match Grant Technical Scope *Integrate Electric Vehicles into the LADWP grid *Demonstrate integrated Demand Response operation and...
Materials Data on WS2 (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tc (SG:194) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VP (SG:194) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on P (SG:2) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BPO4 (SG:152) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VPO5 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge (SG:96) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge (SG:148) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge (SG:96) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UGe2 (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UGe2 (SG:65) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge (SG:69) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on WO2 (SG:166) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VO2 (SG:227) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KHSO4 (SG:61) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Generation and annotation of the DNA sequences of human chromosomes
Miller, Webb
, Maria Cedroni1 , Marc Cotton1 , Teresa Davidson1 , Anu Desai1 , Glendoria Elliott1 , Thomas Erb1 Williams1 , Thomas A. Jones2 , Xinwei She3 , Francesca D. Ciccarelli4 , Elisa Izaurralde4 , James Taylor5
Desai, Narayan [ANL
2013-01-22T23:59:59.000Z
Argonne National Lab's Narayan Desai on "Scaling MG-RAST to Terabases" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.
Prescription Drug Monitoring Programs: Examining Limitations and Future Approaches
Griggs, Christopher A.; Weiner, Scott G.; Feldman, James A.
2015-01-01T23:59:59.000Z
Li G, Brady JE, Lang B, et al. Prescription drug monitoringand drug overdose mortality. Inj Epidemiol. 2014;1:1-9.EM, Desai HA. Prescription drug monitoring programs and
Iyer, Maya Subbarao; Mullan, Patricia Bridget; Santen, Sally; Sikavitsas, Athina; Christner, Jennifer
2014-01-01T23:59:59.000Z
M, et al. Developing a third-year 4. Hunter A, Desai S,MR, Hyun E, Tews M, et al. Third-year medical student theImproves Experience for Third-year Students Maya Subbarao
Desai, Narayan [ANL] [ANL
2011-10-12T23:59:59.000Z
Argonne National Lab's Narayan Desai on "Scaling MG-RAST to Terabases" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.
Chapman, Edwin R.
with the ex- domains (Brose et al., 1992; Davletov and Sudhof, 1993; Desai et al., 2000; Fernandez et al and SNAP-25/syntaxin. (Bai et al., 2002; Brose et al., 1992), syt·syt oligomeriza- tion (Wu et al., 2003
UCR Physics Grad School Welcome to UC Riverside!
Mills, Allen P.
Kawakami Jeanie Lau Doug MacLaughlinAllen P. Mills Umar Mohideen Jing Shi Harry Tom Roya Zandi Chandra Clare Bipin Desai John Ellison Bill Gary Gail Hanson Owen Long Ernest Ma Rich Seto Steve Wimpenny Jose
FIELD WORK (TD 609) Palsunda Village
Sohoni, Milind
PRA, Household survey, Water Resources Survey, Road and Transport Survey, Energy Survey, Agriculture thank Prof. Puru Kulkarni, Prof. Milind Sohoni, Raj Desai Sir and Hemant for providing valuable inputs
A study of the bond characteristics of concrete reinforcing bars coated with epoxy compounds
Desai, Indravadan S
1964-01-01T23:59:59.000Z
A STUDY OF THE BOND CHARACTERISTICS OF CONCRETE REINFORCING BARS COATED WITH EPCKY COMPOUNDS A Thesis By Indravadan S. Desai Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May, 1964 Major Subject: Civil Engineering A STUDY OF THE BOND CHARACTERISTICS OF CONCRETE REINFORCING BARS COATED WITH EPOXY COMPOUNDS A Thesis By Indravadan S. Desai Approved as to style and content by: (Chairman...
A study of the bond characteristics of concrete reinforcing bars coated with epoxy compounds
Desai, Indravadan S
1964-01-01T23:59:59.000Z
A STUDY OF THE BOND CHARACTERISTICS OF CONCRETE REINFORCING BARS COATED WITH EPCKY COMPOUNDS A Thesis By Indravadan S. Desai Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May, 1964 Major Subject: Civil Engineering A STUDY OF THE BOND CHARACTERISTICS OF CONCRETE REINFORCING BARS COATED WITH EPOXY COMPOUNDS A Thesis By Indravadan S. Desai Approved as to style and content by: (Chairman...
Batch polymerization of styrene initiated by alkyl lithiums
Desai, Rashmi R
1970-01-01T23:59:59.000Z
BATCH POLYYIERIZATION OF STYRENE INITIATED BY ALKYL LITHIUMS A Thesis by RASHMI R. DESAI Submitted to the Graduate College of Texas ASM University partial fulfillment of the requirement for the degree of MASTER OF SCIFNCE May 1970 Major... Subject: Chemical Fngineering BATCH POLYMERI2ATION OF STYRENE INITIATED BY ALKYL LITHIUMS A Thesis by RASHMI R. DESAI Approved as to style and content by: / . I ?ii' (Chairman of Committee) (Head of Depar tment) ( ember) (Member) May 1970 111...
; Childers, Pat Cc: Jackson, Scott; Palomares, Art; Patefield, Scott; Logan, Paul Subject: RE: Responses, Andrea; Childers, Pat; Laumann, Sara Cc: Jackson, Scott; Palomares, Art; Patefield, Scott Subject: RE
Improved Measurements of Branching Fractions for B0 -> pi+pi-, K+pi-, and Search for B0 -> K+K-
Aubert, B.; Barate, R.; Boutigny, D.; Couderc, F.; Karyotakis, Y.; Lees, J.P.; Poireau, V.; Tisserand, V.; Zghiche, A.; /Annecy, LAPP; Grauges, E.; /Barcelona, IFAE; Palano, A.; Pappagallo, M.; Pompili, A.; /Bari U. /INFN, Bari; Chen, J.C.; Qi, N.D.; Rong, G.; Wang, P.; Zhu, Y.S.; /Beijing, Inst. High Energy Phys.; Eigen, G.; Ofte, I.; Stugu, B. /Bergen U. /LBL, Berkeley /UC, Berkeley /Birmingham U. /Ruhr U., Bochum /Bristol U. /British Columbia U. /Brunel U. /Novosibirsk, IYF /UC, Irvine /UCLA /UC, Riverside /UC, San
2005-09-28T23:59:59.000Z
We present preliminary measurements of branching fractions for the charmless two-body decays B{sup 0} {yields} {pi}{sup +}{pi}{sup -} and K{sup +}{pi}{sup -}, and a search for B{sup 0} {yields} K{sup +}K{sup -} using a data sample of approximately 227 million B{bar B} decays. Signal yields are extracted with a multi-dimensional maximum likelihood fit, and the efficiency is corrected for the effects of final-state radiation. We find the charge-averaged branching fractions (in units of 10{sup -6}): {Beta}(B{sup 0} {yields} {pi}{sup +}{pi}{sup -}) = 5.5 {+-} 0.4 {+-} 0.3; {Beta}(B{sup 0} {yields} K{sup +}{pi}{sup -}) = 19.2 {+-} 0.6 {+-} 0.6; and {Beta}(B{sup 0} {yields} K{sup +}K{sup -}) = < 0.40. The errors are statistical followed by systematic, and the upper limit on K{sup +}K{sup -} represents a confidence level of 90%.
2012 Smart Grid Peer Review Presentations - Day 2 Second Afternoon...
Broader source: Energy.gov (indexed) [DOE]
and Integrated System - Bill Becker, Spirae 2012 SG Peer Review - Interoperability of Demand Response Resources in New York - Andre Wellington, ConEd NY 2012 SG Peer Review -...
2012 Smart Grid Peer Review Presentations - Day 2 First Afternoon...
Broader source: Energy.gov (indexed) [DOE]
Based Dynamic Pricing - Douglas Horton, NSTAR Electric & Gas 2012 SG Peer Review - LANL Smart Grid Technology Test Bed - Scott Backhaus, LANL 2012 SG Peer Review - University of...
GraduateCouncilMeetingMinutes 204AEvansLibrary
Behmer, Spencer T.
-Physics Geomechanics for Energy Applications (CO2, Fracking, Nuclear Waste) kk. INTA 633 International Development
ENVS 474 -Planning Studio 2013 Urban Transition Studio (UTS) Planning Series
Zaferatos, Nicholas C.
Building and SG Manager Whatcom Transportation Authority: Rick Nicholson (rickn@ridewta.com) Downtown
11.1 Introduction Owing to significant efforts in genome sequencing over nearly three decades
Zhang, Yang
is the structuralgenomics(SG)projectinitiatedattheendoflastcentury(Sali1998;Terwilliger et al. 1998; Burley et al. 1999
French possessive DPs -1 Anne Zribi-Hertz
Paris-Sud XI, Université de
art Koto art Bozy `Bozy is loved by Koto.' (passive clause) b. ny trano -n i Koto DF house GEN art object)' c. a(z) (én) haz -a ø -m DF 1sg house `poss' sg 1sg `my house' (possessive DP) d. a János haz -a ø ø DF John house `poss' sg 3sg `John's house' [adapted from Knittel 1998] (4) Attie2 SUBJECT fl a
Riezler, Stefan
, there are no fur- ther clausal embeddings, and the clauses do analyze> Deutsche 1. deutsch^ADJ.Pos+NN.Fem.Akk.Sg 2. deutsch^ADJ.Pos+NN.Fem.Nom.Sg 3. deutsch^ADJ.Pos+NN.Masc.Nom.Sg.Sw 4. deutsch^ADJ.Pos+NN.Neut.Akk.Sg.Sw 5. deutsch^ADJ.Pos+NN.Neut.Nom.Sg.Sw 6. deutsch^ADJ.Pos+NN.NoGend.Akk.Pl.St 7. deutsch^ADJ.Pos
, University of Amsterdam, Netherlands,Institute, University of Amsterdam, Netherlands, 2. BESSY GmbH,2. BESSY and U125--1/PGM at BESSY1/PGM at BESSY ·· SES2002 (SLS) and SESSES2002 (SLS) and SES--100 (IFW100 (IFW Dresden@BESSYDresden@BESSY)) ·· hh chosen as 39chosen as 39 eVeV:: maximisesmaximises contrast between
Gan, K. K.
the ROD, bi-phase mark (BPM) encoded with the data (command) signal to control the pixel detector, is transmitted via a fiber to a PIN diode. This BPM encoded signal is decoded using a Digital Opto The DORIC decodes BPM encoded clock and data signals received by a PIN diode. The BPM signal is derived from
Microsoft Word - EEI - DOE SG RFI 3 DRAFT _11 1 10_ CLEAN.docx
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362Transmission:portion5 , 3004 SIJI3JII(We are followingFChanges in Page 1 ofPetroleum Pennsylvania
Materials Data on SmCuSe2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on PrCuSe2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LaCuSe2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ba2CaIrO6 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BiTeI (SG:156) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ce(NiSn)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on GeI4 (SG:205) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiCeSn (SG:216) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on S2O5F2 (SG:114) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TeCF2 (SG:4) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(SiAu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZrSnS3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeCoGe (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MnSe (SG:216) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na4IrO4 (SG:87) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LaCoGe (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(MnGe)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KAg3S2 (SG:227) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeCoGe3 (SG:107) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Pu(SiPd)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Pu(CoSi)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tb7O12 (SG:148) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaAg3S2 (SG:227) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeAl3Ni2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuPd3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tm5Mg24 (SG:217) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on U3Sn13Rh4 (SG:223) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CuBiSeO (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Rb2Cu2SnS4 (SG:72) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Pu(SiRh)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cd4OF6 (SG:137) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AgMo3P3O16 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li6MgBr8 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaSnHg (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaGd2NiO5 (SG:71) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiCa6Ge (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CaHgPb (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MnGeO3 (SG:148) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LaAuO3 (SG:57) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Eu(PIr)2 (SG:154) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2CoCl4 (SG:65) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(GePd)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tm5Mg24 (SG:217) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BeF2 (SG:152) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on InSe (SG:160) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UAl3Ni2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CoPSe (SG:61) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Hf(Te4Cl3)2 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ag3Ge5P6 (SG:217) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na3SbS4 (SG:217) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CoTeO3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on La2ReO5 (SG:87) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K3Ta3Si2O13 (SG:189) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on GdGaO3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cs3HgCl5 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K3Nd(PO4)2 (SG:11) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TlZnSClO4 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on GePtSe (SG:29) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CaGa4 (SG:139) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaAlSe2 (SG:140) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ge(BrF5)2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CoWO4 (SG:13) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CsTcO4 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on GdRh (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrNiO2 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CaS (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaMnGe (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ca3AsBr3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Mg2Al2Se5 (SG:164) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Gd(LuS2)3 (SG:11) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na2PtS2 (SG:36) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AlFe3 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TiCoSn (SG:216) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaAlTe2 (SG:140) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Yb2Fe3O7 (SG:194) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2Sn(PO3)4 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na8Ga2O7 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SeOF2 (SG:29) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na2CuAs (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(CoSi)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on In2Au (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ba3TaAs3O (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(CuGe)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Tl2Ge2S5 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaTeS3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on S8O (SG:29) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(CrSi)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaGaTe2 (SG:140) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YbCu5 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YSi3Ni5 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on U2FeS5 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on RbLa(WO4)2 (SG:12) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TlPb2Cl5 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cd5P3ClO12 (SG:176) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Eu2VO4 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YbS (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on EuPb (SG:123) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on DyTe (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaSb5O8 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaCu2SnS4 (SG:152) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K2S5 (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaAg3O2 (SG:72) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AgClO4 (SG:121) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CoHCO3 (SG:148) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TaAs (SG:109) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K2CuSb (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SnClF (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Pb2OF2 (SG:137) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgSeO3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LaCO (SG:12) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NiSeO3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Te2Br (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeP (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K3Nb3Si2O13 (SG:189) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNd(PO3)4 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Te2I (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Co9S8 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr3(AlGe)2 (SG:71) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Y(Al2Cu)4 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Te3Cl2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VSiP2O9 (SG:130) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Np(CoGe)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K2CuAs (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KAlTe2 (SG:140) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErTe (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2CuPO4 (SG:7) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sb6S2O15 (SG:37) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li3Pd (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2CuPO4 (SG:6) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiPd (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sn2SI2 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sb2(SO4)3 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaLaCuTe3 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoCd (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaYCuTe3 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Yb(SiAu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Y6Mn23 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Lu3InN (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuSi2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TmHg (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuIr (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TbSi2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Lu2O3 (SG:206) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Er(PRu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YbSbPd (SG:216) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaYAgTe3 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nd(FeSb3)4 (SG:204) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YbTl (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on La(SiAu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErCd2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuZn (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sm(PRu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TmCd2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoCd2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuN (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoPb3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sm(SiAu)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoSi2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on La(SiAg)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NdHg2 (SG:191) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ho5Ni19P12 (SG:189) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on EuZn (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on DyN (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YbSiAg (SG:189) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Yb(SiAg)2 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ho10In20Ni9 (SG:129) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZrNi4Sn (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni4P16W (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr4Re2NiO12 (SG:166) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ScSi3Ni (SG:65) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Lu6Ni2Sn (SG:71) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on DyAl4Ni (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoGa4Ni (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErInNi (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YNiBi (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni(PO3)4 (SG:9) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiPO4 (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on UGa3Ni (SG:119) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ga4Ni3 (SG:230) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNi4(PO4)3 (SG:122) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni5(P3O11)2 (SG:14) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNi2(PO4)3 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni3(BiSe)2 (SG:12) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TbNiC2 (SG:38) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNi(PO3)4 (SG:9) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li3Ni2(PO4)3 (SG:12) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgNi2Sn (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on EuNiO3 (SG:62) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeGaNi (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ce(Ni2Sn)2 (SG:120) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoInNi (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeAl4Ni (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiPO4 (SG:146) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiP2O7 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HoNiSn (SG:62) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TiGaNi2 (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZrNiBi (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr2ReNiO6 (SG:87) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ba3Ta2NiO9 (SG:164) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na5NiO4 (SG:61) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni3Te2 (SG:11) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ti4Ga3Ni2 (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CeSi4Ni9 (SG:140) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErAl2Ni (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni(PO3)4 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZrNiSn (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on V(NiP4)4 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ScNiBi (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni(PO3)3 (SG:146) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YGa2Ni3 (SG:191) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ba3NiO4 (SG:167) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrNiSn3 (SG:107) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ta2NiO6 (SG:136) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TbNi5 (SG:191) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ho(NiB)2 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NiP2O7 (SG:5) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nd2Ni5B4 (SG:12) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgNi2Sb (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuNiBi (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on DyAlNi (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on PuNi2 (SG:227) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni2P3O11 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li4Ni(PO4)2 (SG:14) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li3Ni(PO4)2 (SG:4) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NiP2O7 (SG:14) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZnCu2Ni (SG:123) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Nb(NiP4)4 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni4W (SG:87) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CuNi2Sn (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr(NiGe)2 (SG:139) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TbNi (SG:11) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiP2O7 (SG:5) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TiGaNi (SG:189) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NiPO4 (SG:159) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErNi7B3 (SG:141) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Lu2NiSn6 (SG:65) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiP2O7 (SG:1) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Zn36Ga5Ni8 (SG:215) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LuNiSn4 (SG:65) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiPO4 (SG:159) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2NiGe3O8 (SG:212) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Th7Ni3 (SG:186) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ErAl4Ni (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HfNi2 (SG:227) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ca7Ni4Sn13 (SG:83) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNi2P5O16 (SG:7) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNiP2O7 (SG:14) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2Ni(PO3)4 (SG:15) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Mn2NiO4 (SG:227) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K3(NiO2)2 (SG:63) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiNi(PO3)3 (SG:146) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ho3(AlNi3)2 (SG:229) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaNi9P5 (SG:194) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AlFe2Ni (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Re2NiO8 (SG:147) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ni5(PO4)4 (SG:2) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on VGaNi2 (SG:225) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on DyNiBi (SG:216) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on EuB6 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Field Enhancement of a Superconducting Helical Undulator with K. Flttmann, S.G. Wipf
. Geometry of a helical undulator with iron A helical field can be produced by a pair of conductors wound to form a double helix as sketched in Figure 1. The current in the two conductors is equal and of opposite of the coil ro= outer radius of the coil B = on axis field amplitude (1) A width of 1/3 is assumed
Materials Data on Nd3Ge5 (SG:43) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cu10Sb3 (SG:176) by Materials Project
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Kristin Persson
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CaHCl (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Li2H2SO5 (SG:4) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaHO (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrHCl (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on PH3O4 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KMgH9(CO5)2 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZnH2SeO5 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrH2I2O7 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiHO (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on ZnH8(NO5)2 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrGe(HO2)2 (SG:122) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaLiH3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KP(HO2)2 (SG:43) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NdH3(CO2)3 (SG:160) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K2MgH4 (SG:139) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaGaH4 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaAsHO4 (SG:61) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ca(HO)2 (SG:164) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HS7N (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cs3MgH5 (SG:130) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiAs(HO2)2 (SG:33) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on HgHOF (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaHO (SG:11) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiHSeO3 (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiPH2O3 (SG:33) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on RbCaH3 (SG:221) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KScBP2HO9 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Al2P2H9NO11 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on PH6NO4 (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CuH2SeO5 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on YH12(ClO2)3 (SG:13) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaHCl (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaH (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ca3Al2(HO)12 (SG:230) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AlHO2 (SG:31) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on RbScBP2HO9 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaH2N (SG:70) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Rb3MgH5 (SG:130) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on CuH4(ClO)2 (SG:53) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NdP2H9O10 (SG:52) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Cs(BH)3 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Na3H5(CO4)2 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H4CSN2 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr7(H6Cl)2 (SG:174) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiH6NO6 (SG:63) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NaH6ClO5 (SG:2) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H5BrNO (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TiH12(NF2)4 (SG:56) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaHI (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaH6Cl2O11 (SG:176) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on NdHSO5 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H8S(NO2)2 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on K(BH)3 (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Be2BHO4 (SG:61) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on AlH3 (SG:167) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H6CN3ClO (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on BaH4O3 (SG:26) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgH2SeO5 (SG:15) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Sr7(H6Br)2 (SG:174) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on KLi2(HO)3 (SG:11) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on TcH4NO4 (SG:88) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on H2SeO4 (SG:19) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Ca2Al3Si3HO13 (SG:62) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on LiH6BrO7 (SG:186) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgH12SO9 (SG:146) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on Zn2PH2CO7 (SG:14) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on MgO (SG:225) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
Materials Data on SrCuSeF (SG:129) by Materials Project
Kristin Persson
2014-11-02T23:59:59.000Z
Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations