Aluminum solidification and nanopolycrystal deformation via a Graph Neural Network Potential and Million-Atom Simulations
Ian Störmer, Julija Zavadlav
Computational Physics papers — page 17
physics.comp-phBrowse archive
Conserved quantities and ensemble measure for Martyna--Tobias--Klein barostats with restricted cell degrees of freedom
Kohei ShinoharaNumerical field optimization for enhanced efficiency in time-reversible gradient computation of open-source GPU-accelerated FDTD simulations
Yannik Mahlau, Lukas Berg, Bodo RosenhahnWafer-to-Wafer Bonding: Part: I -- The Coupled Physics Problem and the 2D Finite Element Implementation
Kamalendu Ghosh, Bhavesh Shrimali, Subin JeongA Residual-Attention Physics-Informed Neural Network for Irregular Interfaces and Multi-Peak Transport Fields
Baitong Zhou, Ze Tao, Fujun Liu et al.Discontinuity-aware KAN-based physics-informed neural networks
Guoqiang Lei, D. Exposito, Xuerui MaoDevelopment and large-scale benchmarks of a protein--ligand absolute binding free energy toolkit
Yu Liu, Ailun Wang, Yu Xia et al.Intermittent Sub-grid Wave Correction from Differentiated Riemann Variables
Steve ShkollerSPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
Shailesh Garg, Luis Mandl, Somdatta Goswami et al.Utilising a learned forward operator in the inverse problem of photoacoustic tomography
Karoliina Puronhaara, Teemu Sahlström, Andreas Hauptmann et al.PICS: A Partition-of-unity Information-geometric Certified Solver for Coupled Partial Differential Equations
Ze Tao, Hongfu Zhou, Hanbing Liang et al.A Unified Benchmark Study of Shock-Like Problems in Two-Dimensional Steady Electrohydrodynamic Flow Based on LSTM-PINN
Chao Lin, Ze Tao, Fujun LiuDeep learning-based phase-field modelling of brittle fracture in anisotropic media
N. Plungė, P. Brommer, R. S. Edwards et al.Time-delay estimation using the Wigner-Ville distribution
L. de A. Gurgel, J. M. de Araújo, L. D. Machado et al.Physics-Informed Long-Range Coulomb Correction for Machine-learning Hamiltonians
Yang Zhong, Xiwen Li, Xingao Gong et al.Physics-informed Bayesian Optimization for Quantitative High-Resolution Transmission Electron Microscopy
Xiankang Tang, Yixuan Zhang, Juri Barthel et al.A distribution-free lattice Boltzmann method for compartmental reaction-diffusion systems with application to epidemic modelling
Alessandro De RosisModeling Decay Heat with a Simplified Depletion Chain in OpenMC
Tanmay Gupta, Benoit ForgetSub-cell Wave Reconstruction from Differentiated Riemann Variables
Steve ShkollerTuning Cu/Diamond Interfacial Thermal Conductance via Nitrogen-Termination Engineering
Guang Yang, Xinling Tang, Zhongkang Lin et al.Physics-Informed Neural Network Approach for Surface Wave Propagation in Functionally Graded Magnetoelastic Layered Media
Diksha, Katyayani, Hriticka Dhiman et al.Manufacturable blazed metasurface gratings designed by 3D topology optimization model
Simon Ans, Frédéric Zamkotsian, Guillaume DemésyAdvancing Machine Learning Applications in Quantum Few-Body Systems
Jin Ziqi, Paolo Recchia, Mario GattobigioReduced-Order Variational Deterministic-Particle-Based Scheme for Fokker-Planck Equations in Microscopic Polymer Dynamics
L. Fang, X. Bao, Z. Song et al.A Scattered-Field Formulation for Coupled Geometric Wakefield and Space Charge Field Simulations in Particle Accelerators
J. Christ, E. Gjonaj, H. De Gersem