Hybrid porous solids past, present, future
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January 2008 |
Commensurate Adsorption of Hydrocarbons and Alcohols in Microporous Metal Organic Frameworks
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September 2011 |
Carbon Dioxide Capture in Metal–Organic Frameworks
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September 2011 |
Electrically Conductive Porous Metal-Organic Frameworks
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January 2016 |
MOF-based electronic and opto-electronic devices
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January 2014 |
Two-dimensional metal–organic frameworks with high thermoelectric efficiency through metal ion selection
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January 2017 |
Tunable Electrical Conductivity in Metal-Organic Framework Thin-Film Devices
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December 2013 |
Signature of Metallic Behavior in the Metal–Organic Frameworks M 3 (hexaiminobenzene) 2 (M = Ni, Cu)
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September 2017 |
Tunable Mixed-Valence Doping toward Record Electrical Conductivity in a Three-Dimensional Metal–Organic Framework
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May 2018 |
The Chemistry and Applications of Metal-Organic Frameworks
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August 2013 |
A Survey on Transfer Learning
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October 2010 |
A Group Process Model for Problem Identification and Program Planning
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July 1971 |
Mastering the game of Go with deep neural networks and tree search
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January 2016 |
Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures
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February 2018 |
Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning
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January 2018 |
“Property Phase Diagrams” for Compound Semiconductors through Data Mining
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January 2013 |
Quantum Loop Topography for Machine Learning
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May 2017 |
Information-Theoretic Approach for the Discovery of Design Rules for Crystal Chemistry
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June 2012 |
Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches
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December 2017 |
Machine-Learning-Augmented Chemisorption Model for CO 2 Electroreduction Catalyst Screening
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August 2015 |
A general-purpose machine learning framework for predicting properties of inorganic materials
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August 2016 |
Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials
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January 2017 |
Predicting the Band Gaps of Inorganic Solids by Machine Learning
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March 2018 |
Accelerating Chemical Discovery with Machine Learning: Simulated Evolution of Spin Crossover Complexes with an Artificial Neural Network
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February 2018 |
Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
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April 2007 |
Representations in neural network based empirical potentials
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July 2017 |
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space
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June 2015 |
Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods
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March 2015 |
A structural approach to relaxation in glassy liquids
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February 2016 |
Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals
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October 2014 |
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
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December 2015 |
Generalized Gradient Approximation Made Simple
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October 1996 |
Multi-fidelity machine learning models for accurate bandgap predictions of solids
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March 2017 |
Informatics-aided bandgap engineering for solar materials
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February 2014 |
Prediction model of band gap for inorganic compounds by combination of density functional theory calculations and machine learning techniques
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March 2016 |
Selecting and interpreting measures of thematic classification accuracy
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October 1997 |
Thermoelectric Properties of 2D Ni 3 (hitp) 2 and 3D Cu 3 (btc) 2 MOFs: First-Principles Studies
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January 2017 |
High Electrical Conductivity in Ni 3 (2,3,6,7,10,11-hexaiminotriphenylene) 2 , a Semiconducting Metal–Organic Graphene Analogue
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April 2014 |
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
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October 1996 |
Extended framework materials incorporating cyanide cluster complexes: structure of the first 3D architecture accommodating organic molecules
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January 2001 |
A new organic–inorganic hybrid framework containing octahedral hexarhenium cluster and its transformation by ligand exchange
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April 2007 |
On the Electronic Conduction in Dry Thin Films of Prussian Blue, Prussian Yellow, and Everitt's Salt
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December 1991 |
Electronic conductivity in Berlin green and Prussian blue
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April 2011 |
Crystal and molecular structure of mercury(II) tetrathiocyanatobis(dimethylformamide)cobaltate(II)
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January 1980 |
Electroconductive Porous Coordination Polymer Cu[Cu(pdt) 2 ] Composed of Donor and Acceptor Building Units
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October 2009 |
Conductivity, Doping, and Redox Chemistry of a Microporous Dithiolene-Based Metal−Organic Framework
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July 2010 |
A europium( iii ) based metal–organic framework: bifunctional properties related to sensing and electronic conductivity
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January 2014 |
Mn 2 (2,5-disulfhydrylbenzene-1,4-dicarboxylate): A Microporous Metal–Organic Framework with Infinite (−Mn–S−) ∞ Chains and High Intrinsic Charge Mobility
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May 2013 |
First-Principles Study of Microporous Magnets M-MOF-74 (M = Ni, Co, Fe, Mn): the Role of Metal Centers
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August 2013 |
Conductive metal–organic frameworks and networks: fact or fantasy?
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January 2012 |