Data-driven coarse-grained modeling of non-equilibrium systems-Reference-Cited by-同舟云学术

Data-driven coarse-grained modeling of non-equilibrium systems

Published:2021 Issue:26 Volume:17 Page:6404-6412
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Wang Shu¹²³⁴^ORCID,Ma Zhan¹²³⁴^ORCID,Pan Wenxiao¹²³⁴^ORCID

Affiliation:

1. Department of Mechanical Engineering

2. University of Wisconsin-Madison

3. Madison

4. USA

Abstract

The present work concerns non-equilibrium systems and enables accurate and efficient CG modeling that preserves non-equilibrium dynamics and is generally applicable to any non-equilibrium process and any observable of interest.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/SM/D1SM00413A

Reference43 articles.

1. Protein–ligand binding with the coarse-grained Martini model

2. Coarse-Grained Protein Models and Their Applications

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4. Memory Effects in Irreversible Thermodynamics

5. Incorporation of memory effects in coarse-grained modeling via the Mori-Zwanzig formalism

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