Showing 81–100 of 236 results
/ Date/ Name
Jan 26, 2023Super-Resolution Analysis via Machine Learning: A Survey for Fluid FlowsJan 16, 2023PtyLab.m/py/jl: a cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychographyJan 12, 2023Closely estimating the entropy of sparse graph modelsDec 19, 2022Highly-parallelized simulation of a pixelated LArTPC on a GPUDec 13, 2022Neutron scattering from local magnetoelectric multipoles: a combined theoretical, computational, and experimental perspectiveDec 9, 2022FAIR AI Models in High Energy PhysicsDec 2, 2022A Finite Element Method for Angular Discretization of the Radiation Transport Equation on Spherical Geodesic GridsNov 2, 2022QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator LearningNov 1, 2022Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched FlowsOct 29, 2022Benchmarking between fluid and global models for low-pressure oxygen DC glow dischargesSep 16, 2022Reinterpretation and Long-Term Preservation of Data and CodeAug 31, 2022Approaching the basis-set limit of the dRPA correlation energy with explicitly correlated and Projector Augmented-wave methodsAug 30, 2022Phonons and phase symmetries in bulk $CrCl_3$ from scattering measurements and theoryAug 16, 2022Morpho -- A programmable environment for shape optimization and shapeshifting problemsJul 23, 2022Enhanced Curie temperature and skyrmion stability in room temperature ferromagnetic semiconductor CrISe monolayerJul 19, 2022Data Science and Machine Learning in EducationJun 14, 2022Explainable AI for High Energy PhysicsJun 7, 2022Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flowMay 11, 2022Gradient-based reconstruction of molecular Hamiltonians and density matrices from time-dependent quantum observablesMay 6, 2022Mechanisms of strength and hardening in austenitic stainless 310S steel: Nanoindentation experiments and multiscale modeling