Suchergebnisse - "Computational Physics (physics.comp-ph)"

Application of machine learning and convex limiting to subgrid flux modeling in the shallow-water equations

Autoren: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

Quelle: Mathematics and Computers in Simulation. 238:163-178

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Physics - Atmospheric and Oceanic Physics, Statistics - Machine Learning, 65M99, Atmospheric and Oceanic Physics (physics.ao-ph), Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Machine Learning (stat.ML), Physics - Fluid Dynamics, Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2407.17214

Utility of high-order scheme for unsteady flow simulations: Comparison with second-order tool

Autoren: Peng Jiang Yichen Huang Yong Cao et al.

Quelle: Journal of Ocean Engineering and Science. 10:774-787

Schlagwörter: Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2407.19764

Machine Learning Model for Efficient Nonthermal Tuning of the Charge Density Wave in Monolayer NbSe2

Autoren: Luka Benić Federico Grasselli Chiheb Ben Mahmoud et al.

Quelle: Journal of Chemical Theory and Computation. 21:8130-8141

Schlagwörter: Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons, machine learning, Helmholtz free energy, Strongly Correlated Electrons (cond-mat.str-el), charge density wave, mononalyer NbSe2, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, charge density wave phase, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2505.05384

Modeling Quantum Links for the Exploration of Distributed Quantum Computing Systems

Autoren: Rached, Sahar Ben Sun, Zezhou Khan, Junaid et al.

Quelle: Proceedings of the ICTON 2025

Schlagwörter: Quantum Physics, FOS: Physical sciences, Computational Physics (physics.comp-ph), Quantum Physics (quant-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2505.08577

Negative Weights and Weight Cancellation to Treat Anisotropic Scattering in Multigroup Monte Carlo Simulations

Autoren: Parth Singh Hunter Belanger

Quelle: Nuclear Science and Engineering. :1-23

Schlagwörter: FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2503.01984

A Deep Learning Method for Computing Committor Functions with Adaptive Sampling

Autoren: Bo Lin Weiqing Ren

Quelle: SIAM Journal on Scientific Computing. 47:C1091-C1114

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, FOS: Physical sciences, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2404.06206

A Massively Parallel Performance Portable Free-Space Spectral Poisson Solver

Autoren: Sonali Mayani Veronica Montanaro Antoine Cerfon et al.

Quelle: ACM Transactions on Mathematical Software. 51:1-23

Schlagwörter: FOS: Computer and information sciences, Computational Physics, FOS: Physical sciences, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Computational Physics (physics.comp-ph)

Zugangs-URL: http://arxiv.org/abs/2405.02603

One-Cell Inversion for Solving Higher-Order Time-Dependent Radiation Transport on GPUs

Autoren: Joanna Piper Morgan Ilham Variansyah Todd S. Palmer et al.

Quelle: Nuclear Science and Engineering. :1-20

Schlagwörter: FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2503.00264

A Gradient Flow Model for Ground State Calculations in Wigner Formalism Based on Density Functional Theory

Autoren: Guanghui Hu Ruo Li Hongfei Zhan

Quelle: SIAM Journal on Scientific Computing. 47:A2456-A2480

Schlagwörter: FOS: Physical sciences, Mathematical Physics (math-ph), Computational Physics (physics.comp-ph), Physics - Computational Physics, Mathematical Physics, 65M70, 70G60, 81S30

Zugangs-URL: http://arxiv.org/abs/2409.10851

Optimized Auxiliary Functions for Robust Mitigation of Finite-Size Errors in Periodic Hybrid Density Functional Theory

Autoren: Stephen Jon Quiton Juan D. F. Pottecher Xin Xing et al.

Quelle: Journal of Chemical Theory and Computation. 21:8863-8875

Schlagwörter: Chemical Physics (physics.chem-ph), Computational Physics, Chemical Physics, FOS: Physical sciences, Computational Physics (physics.comp-ph)

Zugangs-URL: http://arxiv.org/abs/2506.19157

Thermoplasmonics of Gold-Core Silica-Shell Colloidal Nanoparticles under Pulse Illumination

Autoren: Julien El Hajj Gilles Ledoux Samy Merabia

Quelle: The Journal of Physical Chemistry C. 129:16355-16370

Schlagwörter: Condensed Matter - Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2506.04835

Numerical evaluation of the Kirchhoff–Helmholtz integral outside a sphere

Autoren: M. J. Carley

Quelle: Carley, M 2025, 'Numerical evaluation of the Kirchhoff--Helmholtz integral outside a sphere', Journal of the Acoustical Society of America, vol. 158, no. 3, pp. 2622-2630. https://doi.org/10.1121/10.0039386

Schlagwörter: Numerical Analysis, Computational Physics, Classical Physics, Analysis of PDEs, FOS: Mathematics, Classical Physics (physics.class-ph), FOS: Physical sciences, Numerical Analysis (math.NA), Computational Physics (physics.comp-ph), Analysis of PDEs (math.AP)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.04809
https://purehost.bath.ac.uk/ws/files/376414671/carley-2025.pdf

Dimension-Free Ergodicity of Path Integral Molecular Dynamics

Autoren: Ye, Xuda Zhou, Zhennan

Quelle: Communications in Computational Physics. 38:1355-1388

Schlagwörter: Quantum Physics, Probability (math.PR), FOS: Mathematics, FOS: Physical sciences, 37A30, 82B31, 81S40, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Computational Physics (physics.comp-ph), Quantum Physics (quant-ph), Physics - Computational Physics, Mathematics - Probability

Zugangs-URL: http://arxiv.org/abs/2307.06510

Bifurcations and Phase-space Structures in KCN Molecular System

Autoren: Revuelta, F. Arranz, F. J. Benito, R. M. et al.

Quelle: The interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity. 14:607-622

Schlagwörter: FOS: Mathematics, Classical Physics (physics.class-ph), FOS: Physical sciences, Physics - Classical Physics, Mathematical Physics (math-ph), Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Chaotic Dynamics (nlin.CD), Computational Physics (physics.comp-ph), Nonlinear Sciences - Chaotic Dynamics, Physics - Computational Physics, Mathematical Physics

Zugangs-URL: http://arxiv.org/abs/2405.03631

Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation

Autoren: Matthew Tivnan Jacopo Teneggi Tzu-Cheng Lee et al.

Quelle: IEEE Transactions on Medical Imaging. 44:3694-3704

Schlagwörter: FOS: Physical sciences, Medical Physics (physics.med-ph), Computational Physics (physics.comp-ph), Physics - Medical Physics, Physics - Computational Physics

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40117140
http://arxiv.org/abs/2303.13285

The Effective Use of BLAS Interface for Implementation of Finite-Element ADER-DG and Finite-Volume ADER-WENO Methods

Autoren: Popov, I. S.

Quelle: Communications in Computational Physics. 38:1237-1330

Schlagwörter: Numerical Analysis, Computational Physics, 65M60, 76M10, 76M12, 35L60, 35L65, 35L45, 35L67, Analysis of PDEs, Fluid Dynamics (physics.flu-dyn), FOS: Mathematics, FOS: Physical sciences, Fluid Dynamics, Numerical Analysis (math.NA), Applied Physics (physics.app-ph), Computational Physics (physics.comp-ph), Applied Physics, Analysis of PDEs (math.AP)

Zugangs-URL: http://arxiv.org/abs/2409.12483

Classifying Pedestrian Crossing Flows: A Data-Driven Approach Using Fundamental Diagrams and Machine Learning

Autoren: Pratik Mullick

Quelle: Transportation Science. 59:990-1007

Schlagwörter: Physics - Physics and Society, FOS: Physical sciences, Physics and Society (physics.soc-ph), Computational Physics (physics.comp-ph), Physics - Computational Physics, Adaptation and Self-Organizing Systems (nlin.AO), Nonlinear Sciences - Adaptation and Self-Organizing Systems

Zugangs-URL: http://arxiv.org/abs/2412.01729

Self-Consistent GW via Conservation of Spectral Moments

Autoren: Oliver J. Backhouse Marcus K. Allen Charles J. C. Scott et al.

Quelle: Backhouse, O, Allen, M, Scott, C & Booth, G 2025, 'Self-Consistent GW via Conservation of Spectral Moments', Journal of Chemical Theory and Computation, vol. 21, no. 18, pp. 8963–8981. https://doi.org/10.1021/acs.jctc.5c00657

Schlagwörter: Chemical Physics (physics.chem-ph), Computational Physics, Quantum Physics, Chemical Physics, Strongly Correlated Electrons (cond-mat.str-el), Strongly Correlated Electrons, FOS: Physical sciences, Computational Physics (physics.comp-ph), Quantum Physics (quant-ph)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2504.17439
https://kclpure.kcl.ac.uk/portal/en/publications/258e415f-17ef-471f-aed2-7a729193df09

A Molecular Rotor Driven by an Electric Field on Graphene

Autoren: Wanxing Lin Xiaobo Li Yan-Ling Zhao

Quelle: ACS Omega. 10:41849-41857

Schlagwörter: Computational Physics, FOS: Physical sciences, Adaptation and Self-Organizing Systems, Computational Physics (physics.comp-ph), Adaptation and Self-Organizing Systems (nlin.AO)

Zugangs-URL: http://arxiv.org/abs/2509.13995

Machine learning inversion from scattering for mechanically driven polymers

Autoren: Lijie Ding Chi-Huan Tung Bobby G. Sumpter et al.

Quelle: Journal of Applied Crystallography. 58:1526-1532

Schlagwörter: Condensed Matter - Materials Science, Soft Condensed Matter (cond-mat.soft), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: http://arxiv.org/abs/2410.05574