Single-pass incremental force updates for adaptively restrained molecular dynamics

Krishna Kant Singh, Stephane Redon

Research output: Contribution to journalArticlepeer-review

Abstract

Adaptively restrained molecular dynamics (ARMD) allows users to perform more integration steps in wall-clock time by switching on and off positional degrees of freedoms. This article presents new, single-pass incremental force updates algorithms to efficiently simulate a system using ARMD. We assessed different algorithms for speedup measurements and implemented them in the LAMMPS MD package. We validated the single-pass incremental force update algorithm on four different benchmarks using diverse pair potentials. The proposed algorithm allows us to perform simulation of a system faster than traditional MD in both NVE and NVT ensembles. Moreover, ARMD using the new single-pass algorithm speeds up the convergence of observables in wall-clock time.

Original languageEnglish
Pages (from-to)412-423
Number of pages12
JournalJournal of Computational Chemistry
Volume39
Issue number8
DOIs
Publication statusPublished - 30 Mar 2018
Externally publishedYes

Keywords

  • adaptively restrained molecular dynamics
  • incremental force update
  • neighbor lists

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