A quantitative study on the approximation error and speed-up of the multi-scale MCMC (Monte Carlo Markov chain) method for molecular dynamics

DOI10.1016/j.jcp.2022.111491OpenAlexW4286508888WikidataQ114163222 ScholiaQ114163222MaRDI QIDQ2675585

Qinglin Tang, Tao Zhang, Shuyu Sun, Dingguo Xu, Jie Liu, Jisheng Kou

Publication date: 24 September 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111491

zbMATH Keywords

Monte Carlo methodcoarseningmolecular dynamicsmulti-scale method

Mathematics Subject Classification ID

Turbulence (76Fxx) Basic methods in fluid mechanics (76Mxx) Probabilistic methods, stochastic differential equations (65Cxx)

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Cites Work

• Monte Carlo technique for prediction and filtering of non-linear stochastic processes
• Probability density function/Monte Carlo simulation of near-wall turbulent flows
• The Monte Carlo Method

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