PyFR v2.0.3: Towards Industrial Adoption of Scale-Resolving Simulations
Freddie D. Witherden, Peter E. Vincent, Will Trojak et al.
Computational Physics papers — page 61
physics.comp-phBrowse archive
Studies of the Fermi-Hubbard Model Using Quantum Computing
Adam Prokofiew, Nidhish Sharma, Steven SchnetzerThe Importance of Learning without Constraints: Reevaluating Benchmarks for Invariant and Equivariant Features of Machine Learning Potentials in Generating Free Energy Landscapes
Gustavo R. Pérez-Lemus, Yinan Xu, Yezhi Jin et al.Classifying acoustic cavitation with machine learning trained on multiple physical models
Trinidad Gatica, Elwin van 't Wout, Reza HaqshenasDeep potential for interaction between hydrated Cs+ and graphene
Yangjun Qin, Liuhua Mu, Xiao Wan et al.Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts
Fanjie Xu, Wentao Guo, Feng Wang et al.Palabos Turret: A Particle-Resolved Numerical Framework for Settling Dynamics of Arbitrary-Shaped Particles
Taraprasad Bhowmick, Jonas Latt, Yong Wang et al.Simulation of atom trajectories in the original Stern-Gerlach experiment
Faraz Mostafaeipour, S. Suleyman Kahraman, Kelvin Titimbo et al.Finite-order method to calculate approximate density matrices in the Fock-space multireference coupled cluster theory
Alexander V. Oleynichenko, Andrei Zaitsevskii, Leonid V. Skripnikov et al.Spin relaxation in graphite due to spin-orbital-phonon interaction from first-principles density-matrix approach
Junqing XuStructure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
Salvatore Romano, Pablo Montero de Hijes, Matthias Meier et al.Monte Carlo Physics-informed neural networks for multiscale heat conduction via phonon Boltzmann transport equation
Qingyi Lin, Chuang Zhang, Xuhui Meng et al.Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data
Margret Westerkamp, Jakob Roth, Philipp Frank et al.PhysBERT: A Text Embedding Model for Physics Scientific Literature
Thorsten Hellert, João Montenegro, Andrea PollastroGSIS-ALE for moving boundary problems in rarefied gas flows
Jianan Zeng, Yanbing Zhang, Lei WuApplication of mesh refinement to relativistic magnetic reconnection
Revathi Jambunathan, Henry Jones, Lizzette Corrales et al.The Steepest Slope toward a Quantum Few-body Solution: Gradient Variational Methods for the Quantum Few-body Problem
Paolo Recchia, Debabrota Basu, Mario Gattobigio et al.CNUCTRAN: A program for computing final nuclide concentrations using a direct simulation approach
K. A. Bala, M. R Omar, John Y. H. Soon et al.Polymeric Properties of Higher-Order G-Quadruplex Telomeric Structures: Effects of Chemically Inert Crowders
Deniz Mostarac, Mattia Trapella, Luca Bertini et al.Insights on molecular P implantation for scalable spin-qubit arrays
Tomás Fernández Bouvier, Ville Jantunen, Saana Vihuri et al.Multi-soliton solutions and data-driven discovery of higher-order Burgers' hierarchy equations with physics informed neural networks
D. A. Kaltsas, L. Magafas, P. Papadopoulou et al.Advancing Nonadiabatic Molecular Dynamics Simulations for Solids: Achieving Supreme Accuracy and Efficiency with Machine Learning
Changwei Zhang, Yang Zhong, Zhi-Guo Tao et al.A Neural-Network-Based Mapping and Optimization Framework for High-Precision Coarse-Grained Simulation
Zhixuan Zhong, Lifeng Xu, Jian JiangAsymptotic perpendicular transport in low-beta collisionless plasma
Jack Coughlin, Jingwei Hu, Uri ShumlakModelling wildfire spread and spotfire merger using conformal mapping and AAA-least squares methods
Samuel J. Harris, N. R. McDonald