EdSr: A Novel End-to-End Approach for State-Space Sampling in Molecular Dynamics Simulation

The molecular dynamics (MD) simulation technique has been widely used in complex systems, but the accessible time scale is limited due to the requirement of small integration timesteps. Here, we propose a novel method, named exploratory dynamics sampling with recursion (EdSr), inspired by ordinary differential equations and the Taylor expansion formula, which enables flexible adjustment of time steps in MD simulations. By setting up five groups of experiments, including simple functions, ideal physical models, all-atom simulations, coarse-grained simulations, and dissipative particle dynamics simulations, we demonstrate that EdSr can dynamically and flexibly adjust the simulation time step according to the requirements during the simulation period and operate with larger time steps than the widely used velocity-Verlet integrator. Besides, we provide rEdSr to enhance the stability for simulation with a long time scale by mitigating the effect of velocity drift. Although the method cannot perform perfectly at flexible time steps across all simulation systems, we believe that it provides a promising direction for future studies.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-02-18
DOI
https://doi.org/10.1021/acs.jcim.6c00099
Citations
1
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
16.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EdSr: A Novel End-to-End Approach for State-Space Sampling in Molecular Dynamics Simulation

Hai-Ming Cao, Bin Li
1 citations
Journal of Chemical Information and Modeling
Block Copolymer Self-Assembly
16.08
article

EdSr: A Novel End-to-End Approach for State-Space Sampling in Molecular Dynamics Simulation

Hai-Ming Cao, Bin Li
article en
1 citations

Abstract

The molecular dynamics (MD) simulation technique has been widely used in complex systems, but the accessible time scale is limited due to the requirement of small integration timesteps. Here, we propose a novel method, named exploratory dynamics sampling with recursion (EdSr), inspired by ordinary differential equations and the Taylor expansion formula, which enables flexible adjustment of time steps in MD simulations. By setting up five groups of experiments, including simple functions, ideal physical models, all-atom simulations, coarse-grained simulations, and dissipative particle dynamics simulations, we demonstrate that EdSr can dynamically and flexibly adjust the simulation time step according to the requirements during the simulation period and operate with larger time steps than the widely used velocity-Verlet integrator. Besides, we provide rEdSr to enhance the stability for simulation with a long time scale by mitigating the effect of velocity drift. Although the method cannot perform perfectly at flexible time steps across all simulation systems, we believe that it provides a promising direction for future studies.

Journal of Chemical Information and ModelingVol. 66(5)
Sun Yat-sen University (CN)
Openalex Percentile: Top 1%
Block Copolymer Self-Assembly
16.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EdSr: A Novel End-to-End Approach for State-Space Sampling in Molecular Dynamics Simulation — Hai-Ming Cao, Bin Li · Journal of Chemical Information and Modeling (2026) | TGRS Research Map | TGRS