Lattice dynamics modeling of thermal transport in solids using machine-learned atomic cluster expansion potentials: A tutorial.

Συγγραφείς: Guo, Liben¹ (AUTHOR), Liu, Yuanbin² (AUTHOR), Yang, Lei¹ (AUTHOR), Cao, Bingyang¹ (AUTHOR) caoby@tsinghua.edu.cn

Πηγή: Journal of Applied Physics. 2/28/2025, Vol. 137 Issue 8, p1-12. 12p.

Θεματικοί όροι: *LATTICE dynamics, *COMPUTATIONAL physics, *ATOMIC clusters, *COMPUTATIONAL chemistry, *AMORPHOUS silicon

Computing excited eigenstates using inexact Lanczos methods and tree tensor network states.

Συγγραφείς: Rano, Madhumita, Larsson, Henrik R.

Πηγή: Journal of Chemical Physics; 10/28/2025, Vol. 163 Issue 16, p1-15, 15p

Θεματικοί όροι: QUANTUM mechanics, EXCITED states, LANCZOS method, ACETONITRILE, COMPUTATIONAL physics

A Review on Computational Techniques in Physics: The Expanding Role of Machine Learning

Συγγραφείς: Raghavendra, Nishita, Agrawal, Priyal, Joshi, Vaishali, Mishra, Durgesh, Jain, Ankit

Πηγή: 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS) Universal Data Analytics and Sciences (WorldSUAS), 2025 World Skills Conference on. :1-10 Aug, 2025

Relation: 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS)

Aneesur Rahman: Pioneer of molecular simulation.

Συγγραφείς: Sastry, Srikanth¹ (AUTHOR) sastry@jncasr.ac.in

Πηγή: Journal of Chemical Physics. 5/7/2025, Vol. 162 Issue 17, p1-3. 3p.

Θεματικοί όροι: *CONDENSED matter physics, *COMPUTATIONAL physics, *MOLECULAR dynamics, *NONEQUILIBRIUM statistical mechanics, *INELASTIC neutron scattering

New methods in the study of problems in Statistical Mechanics and Stochastic Processes

Συγγραφείς: Masullo, Fabrizio

Συνεισφορές: University/Department: Universitat Rovira i Virgili. Departament d'Enginyeria Química

Thesis Advisors: Bonet Avalos, José, Mackie Walker, Allan Donald

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: Inteligancia Artificial, Ecuaciones diferenciales Aleatorias, Física Computacional, Intel·ligència Artificial, Equacions Diferencials Aleatòries, Artificial Intelligence, Random Differential Equations, Computational Physics, Ciències

Time: 538.9

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10803/690548

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

Συγγραφείς: Ilya Timofeyev, Alexey Schwarzmann, Dmitri Kuzmin

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

Θεματικοί όροι: 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)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.17214

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

Συγγραφείς: Peng Jiang, Yichen Huang, Yong Cao, Shijun Liao, Bin Xie

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

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.19764

Spherical Harmonics collocation: a computational intercomparison of several grids.

Συγγραφείς: Bellet, Jean-Baptiste¹ (AUTHOR) jean.baptiste.bellet@math.univ-poitiers.fr, Brachet, Matthieu¹ (AUTHOR) matthieu.brachet@math.univ-poitiers.fr, Croisille, Jean-Pierre² (AUTHOR) jean-pierre.croisille@univ-lorraine.fr

Πηγή: Numerical Algorithms. Dec2025, Vol. 100 Issue 4, p2021-2040. 20p.

Θεματικοί όροι: *SPHERICAL harmonics, *COMPUTATIONAL physics, *DISCRETIZATION methods, *NUMERICAL analysis, *SPHERICAL coordinates, *ICOSAHEDRA, *SPHERES

High fidelity simulations of the multi-species Vlasov-Maxwell system with the Numerical Flow Iteration

Συγγραφείς: Wilhelm, Rostislav-Paul, Bacchini, Fabio

Θεματικοί όροι: Plasma Physics, Numerical Analysis, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.23286

Nature of frontier quasi-particle states in nitrogen-base systems

Συγγραφείς: Quintero-Monsebaiz, Raul, Hyldgaard, Per, Schröder, Elsebeth

Θεματικοί όροι: Biological Physics, Soft Condensed Matter, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.23171

Discontinuity-aware physics-informed neural networks for phase-field method in three-phase flows

Συγγραφείς: Lei, Guoqiang, Wang, Zhihua, Zhou, Lijing, Exposito, D., Mao, Xuerui

Θεματικοί όροι: Computational Physics, Fluid Dynamics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.23102

A Path-Conservative Method for a Weakly Compressible Two-Phase Model with Surface Tension

Συγγραφείς: Melvin, Ashley, Mandal, J. C.

Θεματικοί όροι: Numerical Analysis, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.23095

Interaction-Driven Chern Insulator at Zero Electric Field in ABCB-Stacked Tetralayer Graphene

Συγγραφείς: Ren, Yulu, Shen, Yang, Xu, Chengyang, Shan, Wanfei, Luo, Weidong

Θεματικοί όροι: Mesoscale and Nanoscale Physics, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22980

MDcraft -- a modern molecular dynamics simulation package with machine learning potentials support

Συγγραφείς: Galtsov, I. S., Muratov, R. V., Vyskvarko, G. V., Murzov, S. A., Dyachkov, S. A., Levashov, P. R.

Θεματικοί όροι: Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22951

Two-Electron Correlations in the Metallic Electron Gas

Συγγραφείς: Li, Zhiyi, Hou, Pengcheng, Wang, Bao-Zong, Deng, Youjin, Chen, Kun

Θεματικοί όροι: Strongly Correlated Electrons, Materials Science, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22927

Robust Indexing for Challenging Serial X-ray Diffraction Patterns

Συγγραφείς: Nasser, Marc M, Poitevin, Frédéric, Dalton, Kevin M

Θεματικοί όροι: Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22875

A Finite Element Method for Simulation of Coupled Dynamics of Dislocations and Fracture

Συγγραφείς: Gu, Boyang, Diaz, Adrian, Li, Yang, Chen, Youping

Θεματικοί όροι: Materials Science, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22676

A Machine Learning Model for the Chemistry of a Solvated Electron

Συγγραφείς: Gao, Ruiqi, Xie, Pinchen, Car, Roberto

Θεματικοί όροι: Chemical Physics, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22642

Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa$_2$Cu$_3$O$_{7-δ}$

Συγγραφείς: Di Eugenio, Niccolò, Dickson, Ashley, Djurabekova, Flyura, Laviano, Francesco, Ledda, Federico, Torsello, Daniele, Gallo, Erik, Gilbert, Mark R., Nguyen-Manh, Duc, Trotta, Antonio, Murphy, Samuel T., Gambino, Davide

Θεματικοί όροι: Superconductivity, Computational Physics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22592

Efficient Pseudo-spectral Algorithms for Statistical Field Theories

Συγγραφείς: Johnsrud, Martin Kjøllesdal, Rana, Navdeep

Θεματικοί όροι: Computational Physics, Soft Condensed Matter, Statistical Mechanics, Numerical Analysis

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2511.22510