Highly-parallelized simulation of a pixelated LArTPC on a GPU
DUNE Collaboration, A. Abed Abud, B. Abi et al.
Computational Physics papers — page 98
physics.comp-phBrowse archive
Material Property Prediction using Graphs based on Generically Complete Isometry Invariants
Jonathan Balasingham, Viktor Zamaraev, Vitaliy KurlinMesoscopic modelling of epithelial tissues
Kevin Höllring, Ana-Sunčana SmithAnalysis of Degrees of Freedom in Scattered Fields for Nonlinear Inverse Scattering Problems
Zhichao Lin, Rui Guo, Tao Shan et al.Enriched evolution of global sea surface height via generalized Schrodinger bridge and Fokker-Planck solver
Guangzhen JinSecond-order force scheme for lattice Boltzmann method
Xuhui Li, Wenyang Duan, Xiaowen ShanA conservative Galerkin solver for the quasilinear diffusion model in magnetized plasmas
Kun Huang, Michael Abdelmalik, Boris Breizman et al.RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy
Siyu Hu, Wentao Zhang, Qiuchen Sha et al.A deep learning approach to the texture optimization problem for friction control in lubricated contacts
Alexandre Silva, Veniero Lenzi, Sergey Pyrlin et al.Towards learning Lattice Boltzmann collision operators
Alessandro Corbetta, Alessandro Gabbana, Vitaliy Gyrya et al.An Electrodynamics Solver for Moving Sources
Sameh Y. Elnaggar, Yahia. M. M. AntarAcceleration strategy of source iteration method for the stationary phonon Boltzmann transport equation
Chuang Zhang, Samuel Huberman, Xinliang Song et al.Connecting Tikhonov regularization to the maximum entropy method for the analytic continuation of quantum Monte Carlo data
Khaldoon Ghanem, Erik KochNumerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh Benard convection
Saeed Akbari, Suraj Pawar, Omer SanA Learned Born Series for Highly-Scattering Media
Antonio Stanziola, Simon Arridge, Ben T. Cox et al.Transfer learning for chemically accurate interatomic neural network potentials
Viktor Zaverkin, David Holzmüller, Luca Bonfirraro et al.Automatic Differentiation for Orbital-Free Density Functional Theory
Chuin Wei Tan, Chris J. Pickard, William C. WittA semi-Lagrangian discontinuous Galerkin method for drift-kinetic simulations on GPUs
Lukas Einkemmer, Alexander MorigglSimplified-DPN treatment of the neutron transport equation
M. Nazari, A. Zolfaghari, M. AbbasiSuperNest: accelerated nested sampling applied to astrophysics and cosmology
Aleksandr Petrosyan, William James HandleyThermal diode assisted by geometry under cycling temperature
L. Zurdo, L. Chej, A. Monastra et al.Quantum targeted energy transfer through machine learning tools
I. Andronis, G. Arapantonis, G. D. Barmparis et al.On the Compatibility between Neural Networks and Partial Differential Equations for Physics-informed Learning
Kuangdai Leng, Jeyan ThiyagalingamPhysics-Constrained Generative Adversarial Networks for 3D Turbulence
Dima Tretiak, Arvind T. Mohan, Daniel LivescuIndentation-induced martensitic transformation in SMAs: insights from phase-field simulations
Mohsen Rezaee-Hajidehi, Karel Tůma, Stanisław Stupkiewicz