Data-driven molecular modeling with the generalized Langevin equation
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Publication:2124588
DOI10.1016/j.jcp.2020.109633OpenAlexW2990070960WikidataQ99578467 ScholiaQ99578467MaRDI QIDQ2124588
Xiantao Li, Nathan A. Baker, Francesca Grogan, Huan Lei
Publication date: 11 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1912.00265
dimension reductionmolecular dynamicscoarse-grained modelsgeneralized Langevin equationdata-driven parametrization
Related Items
Efficient Numerical Algorithms for the Generalized Langevin Equation, Effective Mori-Zwanzig equation for the reduced-order modeling of stochastic systems, Coarse-grained modelling out of equilibrium, Accurate and robust splitting methods for the generalized Langevin equation with a positive prony series memory kernel, Bottom-Up Transient Time Models in Coarse-Graining Molecular Systems, Almost sure contraction for diffusions on \(\mathbb{R}^d\). Application to generalized Langevin diffusions
Uses Software
Cites Work
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