Výsledky vyhledávání - "Physics - Computational Physics"

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

Autoři: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2407.17214

Enriched physics-informed neural networks for dynamic Poisson-Nernst-Planck systems

Autoři: Xujia Huang Fajie Wang Benrong Zhang a další

Zdroj: Mathematics and Computers in Simulation. 237:231-246

Témata: 65M99, 35M33, 68T07, Computer Science - Machine Learning, Physics - Computational Physics

Přístupová URL adresa: http://arxiv.org/abs/2402.01768

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

Autoři: Peng Jiang Yichen Huang Yong Cao a další

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

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

Přístupová URL adresa: http://arxiv.org/abs/2407.19764

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

Autoři: Luka Benić Federico Grasselli Chiheb Ben Mahmoud a další

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

Témata: 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

Přístupová URL adresa: http://arxiv.org/abs/2505.05384

Modeling Quantum Links for the Exploration of Distributed Quantum Computing Systems

Autoři: Rached, Sahar Ben Sun, Zezhou Khan, Junaid a další

Zdroj: Proceedings of the ICTON 2025

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

Přístupová URL adresa: http://arxiv.org/abs/2505.08577

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

Autoři: Parth Singh Hunter Belanger

Zdroj: Nuclear Science and Engineering. :1-23

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

Přístupová URL adresa: http://arxiv.org/abs/2503.01984

A Deep Learning Method for Computing Committor Functions with Adaptive Sampling

Autoři: Bo Lin Weiqing Ren

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2404.06206

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

Autoři: Joanna Piper Morgan Ilham Variansyah Todd S. Palmer a další

Zdroj: Nuclear Science and Engineering. :1-20

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

Přístupová URL adresa: http://arxiv.org/abs/2503.00264

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

Autoři: Guanghui Hu Ruo Li Hongfei Zhan

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

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

Přístupová URL adresa: http://arxiv.org/abs/2409.10851

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

Autoři: Julien El Hajj Gilles Ledoux Samy Merabia

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

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

Přístupová URL adresa: http://arxiv.org/abs/2506.04835

Dimension-Free Ergodicity of Path Integral Molecular Dynamics

Autoři: Ye, Xuda Zhou, Zhennan

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

Témata: 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

Přístupová URL adresa: http://arxiv.org/abs/2307.06510

Bifurcations and Phase-space Structures in KCN Molecular System

Autoři: Revuelta, F. Arranz, F. J. Benito, R. M. a další

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

Témata: 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

Přístupová URL adresa: http://arxiv.org/abs/2405.03631

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

Autoři: Matthew Tivnan Jacopo Teneggi Tzu-Cheng Lee a další

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

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

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

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

Autoři: Pratik Mullick

Zdroj: Transportation Science. 59:990-1007

Témata: 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

Přístupová URL adresa: http://arxiv.org/abs/2412.01729

Machine learning inversion from scattering for mechanically driven polymers

Autoři: Lijie Ding Chi-Huan Tung Bobby G. Sumpter a další

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

Témata: 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

Přístupová URL adresa: http://arxiv.org/abs/2410.05574

Heavy-element damage seeding in proteins under XFEL illumination

Autoři: Passmore, Spencer K Sanders, Alaric L Martin, Andrew V a další

Přispěvatelé: Passmore, Spencer K Sanders, Alaric L Martin, Andrew V a další

Zdroj: Journal of Synchrotron Radiation. 32:1124-1142

Témata: heavy-element damage seeding, XFEL, Lasers, X-Rays, femtosecond studies, Proteins, FOS: Physical sciences, Electrons, Computational Physics (physics.comp-ph), Crystallography, X-Ray, Physics - Plasma Physics, diffract-then-destroy, Plasma Physics (physics.plasm-ph), pump–probe, Biological Physics (physics.bio-ph), radiation damage, single particles, SFX, serial crystallography, Physics - Biological Physics, protein structure, Physics - Computational Physics

Popis souboru: text/xml; application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2405.10298
https://www.repository.cam.ac.uk/handle/1810/388763
https://doi.org/10.1107/s1600577525005934

Statistical Finite Elements via Interacting Particle Langevin Dynamics

Autoři: Glyn-Davies, Alex Duffin, Connor Kazlauskaite, Ieva a další

Zdroj: SIAM/ASA Journal on Uncertainty Quantification. 13:1200-1227

Témata: AAM requested, FOS: Computer and information sciences, statistical finite elements, inverse problems, maximum marginal likelihood estimation, FOS: Physical sciences, Computational Physics (physics.comp-ph), Statistics - Computation, Physics - Computational Physics, Langevin dynamics, Computation (stat.CO)

Přístupová URL adresa: http://arxiv.org/abs/2409.07101
http://eprints.lse.ac.uk/129337/

PINNs for solving unsteady Maxwell’s equations: convergence issues and comparative assessment with compact schemes

Autoři: Gal G. Shaviner Hemanth Chandravamsi Shimon Pisnoy a další

Zdroj: Neural Computing and Applications. 37:24103-24122

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

Přístupová URL adresa: http://arxiv.org/abs/2504.12144

Structure Determination from Single-Molecule X-ray Scattering Images Using Stochastic Gradient Ascent

Autoři: Steffen Schultze D. Russell Luke Helmut Grubmüller a další

Přispěvatelé: Steffen Schultze D. Russell Luke Helmut Grubmüller a další

Zdroj: Journal of Chemical Theory and Computation. 21:8227-8234

Témata: Biological Physics (physics.bio-ph), FOS: Physical sciences, Physics - Biological Physics, Computational Physics (physics.comp-ph), Physics - Computational Physics

Přístupová URL adresa: http://arxiv.org/abs/2505.05109
http://arxiv.org/abs/2505.05109v1
https://resolver.sub.uni-goettingen.de/purl?gro-2/149949
https://resolver.sub.uni-goettingen.de/purl?gro-2/150683

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies

Autoři: Moritz Bensberg Marco Eckhoff F. Emil Thomasen a další

Zdroj: Bensberg, M, Eckhoff, M, Thomasen, F E, Bro-Jørgensen, W, Teynor, M S, Sora, V, Weymuth, T, Husistein, R T, Knudsen, F E, Krogh, A, Lindorff-Larsen, K, Reiher, M & Solomon, G C 2025, ' Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies ', Journal of Chemical Theory and Computation, vol. 21, no. 16, pp. 8182-8198 . https://doi.org/10.1021/acs.jctc.5c00388

Témata: Chemical Physics (physics.chem-ph), Biological Physics (physics.bio-ph), Physics - Chemical Physics, FOS: Physical sciences, Physics - Biological Physics, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Physics (physics.comp-ph), Physics - Computational Physics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2503.03955
https://curis.ku.dk/ws/files/463565292/Machine_Learning-Enhanced_Calculation.pdf