Model fusion with physics-guided machine learning
Suraj Pawar, Omer San, Aditya Nair et al.
Computational Physics papers — page 133
physics.comp-phBrowse archive
Predictive Mixing for Density Functional Theory (and other Fixed-Point Problems)
Laurence MarksFast Regression of the Tritium Breeding Ratio in Fusion Reactors
Petr Mánek, Graham Van Goffrier, Vignesh Gopakumar et al.Matlab code for Lyapunov exponents of fractional-order systems, Part II: The non-commensurate case
Marius-F. Dancadlmontepython: A Python library for automation and analysis of Monte Carlo molecular simulations
T. L. Underwood, J. A. Purton, J. R. H. Manning et al.Dyadic Green's function for the graphene-dielectric stack with arbitrary field and source points
Shiva Hayati Raad, Zahra Atlasbaf, Mauro CuevasJefiGPU: Jefimenko's Equations on GPU
Jun-Jie Zhang, Jian-Nan Chen, Guo-Liang Peng et al.A Machine-Learning Surrogate Model for ab initio Electronic Correlations at Extreme Conditions
Tobias Dornheim, Zhandos Moldabekov, Attila CangiTransverse Rashba Effect and Unconventional Magnetocrystalline Anisotropy in Double-Gd-adsorbed Zigzag Graphene Nanoribbon
Weifeng Xie, Yu Song, Xu ZuoPINNtomo: Seismic tomography using physics-informed neural networks
Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat et al.Explicit physics-informed neural networks for non-linear upscaling closure: the case of transport in tissues
Ehsan Taghizadeh, Helen M. Byrne, Brian D. WoodHomogenization of the vibro-acoustic transmission on periodically perforated elastic plates with arrays of resonators
Eduard Rohan, Vladimír LukešJRAF: A Julia Package for Computation of the Relativistic Molecular Auxiliary Functions
Ali BagciPhysics-informed neural networks for the shallow-water equations on the sphere
Alex Bihlo, Roman O. PopovychA nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations
Suraj Pawar, Omer San, Adil Rasheed et al.XY Neural Networks
Nikita Stroev, Natalia G. BerloffDynamically polarisable force-fields for surface simulations via multi-output classification Neural Networks
Nicodemo Di Pasquale, Joshua D. Elliott, Panagiotis Hadjidoukas et al.Mixed-precision for Linear Solvers in Global Geophysical Flows
Jan Ackmann, Peter D. Düben, Tim N. Palmer et al.Kepler's Goat Herd: An Exact Solution to Kepler's Equation for Elliptical Orbits
Oliver H. E. Philcox, Jeremy Goodman, Zachary SlepianLarge-scale finite-difference and finite-element frequency-domain seismic wave modelling with multi-level domain-decomposition preconditioner
Victorita Dolean, Pierre Jolivet, Pierre-Henri Tournier et al.Layer-splitting methods for time-dependent Schr\"odinger equations of incommensurate systems
Ting Wang, Huajie Chen, Aihui Zhou et al.Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San, Adil Rasheed, Trond KvamsdalOn the quantification of discretization uncertainty: comparison of two paradigms
Julien Bect, Souleymane Zio, Guillaume Perrin et al.A Spacetime Finite Elements Method to Solve the Dirac Equation
Rylee Sundermann, Hyun Lim, Jace Waybright et al.Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken et al.