Targeted free energy estimation via learned mappings
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios et al.
Computational Physics papers — page 175
physics.comp-phBrowse archive
Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows
Niklas Kühl, Michael Hinze, Thomas RungConnecting Dualities and Machine Learning
Philip Betzler, Sven KrippendorfPerformance analysis of Volna-OP2 -- massively parallel code for tsunami modelling
Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou et al.Data Driven Finite Element Method: Theory and Applications
M. Amir SiddiqA numerical damped oscillator approach to constrained Schrödinger equations
M. Ogren, M. GullikssonBoosting Monte Carlo simulations of spin glasses using autoregressive neural networks
B. McNaughton, M. V. Milošević, A. Perali et al.Efficient Training of ANN Potentials by Including Atomic Forces via Taylor Expansion and Application to Water and a Transition-Metal Oxide
April M. Cooper, Johannes Kästner, Alexander Urban et al.Arbitrary Lagrangian-Eulerian formulation of lattice Boltzmann model for compressible flows on unstructured moving meshes
Mohammad Hossein Saadat, Ilya V. KarlinMoving and Reactive Boundary Conditions in Moving-Mesh Hydrodynamics
Logan J. PrustMagnetic Field Simulation with Data-Driven Material Modeling
Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion et al.Neural network representability of fully ionized plasma fluid model closures
Romit Maulik, Nathan A. Garland, Xian-Zhu Tang et al.DEMocritus: an open source framework for simulating slurry flows using an SDPD-DEM coupled model
Satori TsuzukiEfficient implementation of the superposition of atomic potentials initial guess for electronic structure calculations in Gaussian basis sets
Susi Lehtola, Lucas Visscher, Eberhard EngelDFTpy: An efficient and object-oriented platform for orbital-free DFT simulations
Xuecheng Shao, Kaili Jiang, Wenhui Mi et al.Finding Quantum Critical Points with Neural-Network Quantum States
Remmy Zen, Long My, Ryan Tan et al.Topological quantum phase transitions retrieved through unsupervised machine learning
Yanming Che, Clemens Gneiting, Tao Liu et al.Enhancement of shock-capturing methods via machine learning
Ben Stevens, Tim ColoniusFast inference of Boosted Decision Trees in FPGAs for particle physics
Sioni Summers, Giuseppe Di Guglielmo, Javier Duarte et al.Mutation++: MUlticomponent Thermodynamic And Transport properties for IONized gases in C++
James B. Scoggins, Vincent Leroy, Georgios Bellas-Chatzigeorgis et al.A light weight regularization for wave function parameter gradients in quantum Monte Carlo
Shivesh Pathak, Lucas K. WagnerFourier continuation method for incompressible fluids with boundaries
M. Fontana, Oscar P. Bruno, Pablo D. Mininni et al.Fluid-structure interaction modeling of blood flow in the pulmonary arteries using the unified continuum and variational multiscale formulation
Ju Liu, Weiguang Yang, Ingrid S. Lan et al.Mesoscopic modeling of heptane: A surface tension calculation
Qi Rao, Yidong Xia, Jiaoyan Li et al.PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations
Olivier Pannekoucke, Ronan Fablet