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February 20, 2026Journal of Chemical Information and Modeling0 citations

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

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HCHai-Ming CaoBLBin Li

Key Points

  • The aim is to develop a method that allows flexible adjustment of time steps in molecular dynamics simulations to enhance efficiency.
  • Development of the exploratory dynamics sampling with recursion (EdSr) method.
  • Conducting experiments across five different simulation types: simple functions, ideal physical models, all-atom simulations, coarse-grained simulations, and dissipative particle dynamics.
  • Implementing rEdSr to stabilize simulations over long timescales by reducing velocity drift.
  • EdSr allows the use of larger time steps compared to the velocity-Verlet integrator.
  • Dynamic adjustment of time steps is possible throughout the simulation, catering to varying needs.
  • While not perfect across all systems, EdSr shows promise for enhancing molecular dynamics studies.

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.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/6997fa90ad1d9b11b3453debhttps://doi.org/10.1021/acs.jcim.6c00099
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