Fermions at Finite Density in 2 + 1 Dimensions with Sign-Optimized Manifolds
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November 2018
Toward solving the sign problem with path optimization method
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December 2017
Finite-density Monte Carlo calculations on sign-optimized manifolds
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May 2018
A simple approach towards the sign problem using path optimisation
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December 2018
Machine learning to alleviate Hubbard-model sign problems
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March 2021
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
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August 2019
Equivariant Flow-Based Sampling for Lattice Gauge Theory
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September 2020
Learning and prediction of nuclear stability by neural networks
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April 1992
Neural network models of nuclear systematics
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February 1993
Quantifying correlated truncation errors in effective field theory
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October 2019
Quantified limits of the nuclear landscape
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April 2020
Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach
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January 2016
Refining mass formulas for astrophysical applications: A Bayesian neural network approach
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October 2017
Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
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March 2018
Bayesian approach to model-based extrapolation of nuclear observables
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September 2018
Neutron Drip Line in the Ca Region from Bayesian Model Averaging
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February 2019
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
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January 2020
Propagation of statistical uncertainties of Skyrme mass models to simulations of r -process nucleosynthesis
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May 2020
Nuclear charge radii: density functional theory meets Bayesian neural networks
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October 2016
Estimations of first 2+ energy states of even–even nuclei by using artificial neural networks
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April 2021
Alpha half-lives calculation of superheavy nuclei with Q α -value predictions based on the Bayesian neural network approach
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October 2019
Bayesian Neural Network improvements to nuclear mass formulae and predictions in the SuperHeavy Elements region
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August 2019
Bayesian Evaluation of Incomplete Fission Yields
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September 2019
Constraining Fission Yields Using Machine Learning
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January 2019
Exploring Bayesian parameter estimation for chiral effective field theory using nucleon–nucleon phase shifts
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February 2019
Precision Determination of Pion-Nucleon Coupling Constants Using Effective Field Theory
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March 2021
How machine learning conquers the unitary limit
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February 2021
Towards high-order calculations of three-nucleon scattering in chiral effective field theory
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March 2020
Quantifying uncertainties in neutron- α scattering with chiral nucleon-nucleon and three-nucleon forces
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August 2020
Direct Comparison between Bayesian and Frequentist Uncertainty Quantification for Nuclear Reactions
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June 2019
Constraining transfer cross sections using Bayes' theorem
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June 2018
Exploring experimental conditions to reduce uncertainties in the optical potential
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December 2019
Isotopic cross-sections in proton induced spallation reactions based on the Bayesian neural network method
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January 2020
Estimation of fusion reaction cross-sections by artificial neural networks
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January 2020
Extrapolation of nuclear structure observables with artificial neural networks
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November 2019
Deep learning: Extrapolation tool for ab initio nuclear theory
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May 2019
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
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March 2015
Uncertainty quantification in the nuclear shell model
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December 2018
Nonparametric Bayesian approach to extrapolation problems in configuration interaction methods
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August 2020
Bayesian optimization in ab initio nuclear physics
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July 2019
Global Sensitivity Analysis of Bulk Properties of an Atomic Nucleus
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December 2019
Statistical aspects of nuclear mass models
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July 2020
Machine learning the deuteron
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October 2020
Microscopic theory of nuclear fission: a review
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October 2016
Consistent empirical physical formulas for potential energy curves of 38–66Ti isotopes by using neural networks
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November 2013
r -process nucleosynthesis: connecting rare-isotope beam facilities with the cosmos
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July 2019
Microscopically based energy density functionals for nuclei using the density matrix expansion. II. Full optimization and validation
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May 2018
Nuclear energy density optimization: Shell structure
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May 2014
Nuclear Binding Near a Quantum Phase Transition
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September 2016
Ab initio Calculations of the Isotopic Dependence of Nuclear Clustering
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December 2017
Microscopic clustering in light nuclei
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August 2018
Clustering of Four-Component Unitary Fermions
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April 2020
Pairing correlations and eigenvalues of two-body density matrix in atomic nuclei
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February 2020
Probing ab initio emergence of nuclear rotation
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April 2020
Constraining the symmetry energy with heavy-ion collisions and Bayesian analyses
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December 2019
Bayesian modeling of the nuclear equation of state for neutron star tidal deformabilities and GW170817
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November 2019
Machine learning for orders of magnitude speedup in multiobjective optimization of particle accelerator systems
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April 2020
Predicting particle accelerator failures using binary classifiers
Rescic, Miha; Seviour, Rebecca; Blokland, Willem
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 955
https://doi.org/10.1016/j.nima.2019.163240
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March 2020
Experimental test of an online ion-optics optimizer
Amthor, A. M.; Schillaci, Z. M.; Morrissey, D. J.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 895
https://doi.org/10.1016/j.nima.2018.04.001
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July 2018
Machine learning methods for track classification in the AT-TPC
Kuchera, M. P.; Ramanujan, R.; Taylor, J. Z.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 940
https://doi.org/10.1016/j.nima.2019.05.097
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October 2019
Deep neural networks for energy and position reconstruction in EXO-200
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August 2018
Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
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May 2019
A new Transition Radiation detector based on GEM technology
Barbosa, F.; Fenker, H.; Furletov, S.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 942
https://doi.org/10.1016/j.nima.2019.162356
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October 2019
DeepRICH: learning deeply Cherenkov detectors
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March 2020
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
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May 2020
Parton distributions with theory uncertainties: general formalism and first phenomenological studies: NNPDF Collaboration
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November 2019
Strange quark suppression from a simultaneous Monte Carlo analysis of parton distributions and fragmentation functions
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April 2020
First Simultaneous Extraction of Spin-Dependent Parton Distributions and Fragmentation Functions from a Global QCD Analysis
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September 2017
Origin of single transverse-spin asymmetries in high-energy collisions
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September 2020
Neural network generated parametrizations of deeply virtual Compton form factors
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July 2011
GPD phenomenology and DVCS fitting: Entering the high-precision era
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June 2016
Parton distributions and lattice QCD calculations: A community white paper
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May 2018
Principal Component Analysis of Event-by-Event Fluctuations
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April 2015
Subleading harmonic flows in hydrodynamic simulations of heavy ion collisions
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April 2015
Principal component analysis of collective flow in relativistic heavy-ion collisions
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October 2019
Constraining the Equation of State of Superhadronic Matter from Heavy-Ion Collisions
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May 2015
Applying Bayesian parameter estimation to relativistic heavy-ion collisions: Simultaneous characterization of the initial state and quark-gluon plasma medium
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August 2016
Bayesian estimation of the specific shear and bulk viscosity of quark–gluon plasma
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August 2019
Revisiting Bayesian constraints on the transport coefficients of QCD
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January 2021
Data-driven analysis for the temperature and momentum dependence of the heavy-quark diffusion coefficient in relativistic heavy-ion collisions
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January 2018
Bayesian extraction of $\hat{q}$ with multi-stage jet evolution approach
Soltz, Ron; Collaboration, Jetscape
Proceedings of International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions — PoS(HardProbes2018)
https://doi.org/10.22323/1.345.0048
conference
April 2019
Bayesian Extraction of Jet Energy Loss Distributions in Heavy-Ion Collisions
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June 2019
Probing heavy ion collisions using quark and gluon jet substructure with machine learning
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February 2019
Energy flow polynomials: a complete linear basis for jet substructure
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April 2018
An equation-of-state-meter of quantum chromodynamics transition from deep learning
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January 2018
A machine learning study to identify spinodal clumping in high energy nuclear collisions
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December 2019
Applications of deep learning to relativistic hydrodynamics
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February 2019
Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8
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March 2020
Machine learning action parameters in lattice quantum chromodynamics
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May 2018
Spectral reconstruction with deep neural networks
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November 2020
Machine-learning prediction for quasiparton distribution function matrix elements
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February 2020
Faster magnet sorting with a threshold acceptance algorithm
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February 1995
Application of Genetic Algorithms to Sorting, Swapping and Shimming of the SOLEIL Undulator Magnets
Chubar, O.; Rudenko, O.; Benabderrahmane, C.
SYNCHROTRON RADIATION INSTRUMENTATION: Ninth International Conference on Synchrotron Radiation Instrumentation, AIP Conference Proceedings
https://doi.org/10.1063/1.2436074
conference
January 2007
Optimum steering of photon beamlines in SPEAR
conference
January 1993
Multivariate optimization of a high brightness dc gun photoinjector
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March 2005
Simultaneous optimization of beam emittance and dynamic aperture for electron storage ring using genetic algorithm
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September 2011
Innovative applications of genetic algorithms to problems in accelerator physics
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January 2013
Machine learning-based longitudinal phase space prediction of particle accelerators
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November 2018
Model-independent tuning for maximizing free electron laser pulse energy
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August 2019