Force Field-Driven Backmapping for Multiscale Molecular Dynamics

Molecular Dynamics (MD) is a powerful simulation technique for capturing the dynamics and equilibrium properties of molecular and macromolecular systems at atomic resolution. However, MD faces significant practical challenges due to the limited time and spatial scales it can reach. To address these challenges, various coarse-grained (CG) and multiscale methods have been developed. In particular, Multiscale Factorization (MF) is a promising multiscale framework that provides a self-consistent and efficient way of coevolving the atomistic and CG states without requiring calibration of the CG model. MF achieves this coevolution by backmapping the CG state to an ensemble of all-atom microstates consistent with the latter. In this study, we introduce a force field-driven backmapping method that yields improved accuracy and numerical stability over existing methods, enabling the use of larger CG timesteps in the course of a multiscale simulation.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-10-20
DOI
https://doi.org/10.1021/acs.jctc.5c00677
Primary Topic
Magnetic properties of thin films
Type
article
Field-Weighted Citation Impact
0.00
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article

Force Field-Driven Backmapping for Multiscale Molecular Dynamics

Xu Guo, Andrew Abi-Mansour
Journal of Chemical Theory and Computation
Magnetic properties of thin films
article

Force Field-Driven Backmapping for Multiscale Molecular Dynamics

Xu Guo, Andrew Abi-Mansour
article en

Abstract

Molecular Dynamics (MD) is a powerful simulation technique for capturing the dynamics and equilibrium properties of molecular and macromolecular systems at atomic resolution. However, MD faces significant practical challenges due to the limited time and spatial scales it can reach. To address these challenges, various coarse-grained (CG) and multiscale methods have been developed. In particular, Multiscale Factorization (MF) is a promising multiscale framework that provides a self-consistent and efficient way of coevolving the atomistic and CG states without requiring calibration of the CG model. MF achieves this coevolution by backmapping the CG state to an ensemble of all-atom microstates consistent with the latter. In this study, we introduce a force field-driven backmapping method that yields improved accuracy and numerical stability over existing methods, enabling the use of larger CG timesteps in the course of a multiscale simulation.

Journal of Chemical Theory and ComputationVol. 21(21)
Indiana University Bloomington (US), Donaldson (United States) (US)
Openalex Percentile: Top 76%
Magnetic properties of thin films
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