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 language | English |
|---|---|
| Pages (from-to) | 412-423 |
| Number of pages | 12 |
| Journal | Journal of Computational Chemistry |
| Volume | 39 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 30 Mar 2018 |
| Externally published | Yes |
Keywords
- adaptively restrained molecular dynamics
- incremental force update
- neighbor lists