Velocity Jumps for Molecular Dynamics

We introduce the Velocity Jumps approach, denoted as JUMP, a new class of Molecular dynamics integrators, replacing the Langevin dynamics by a hybrid model combining a classical Langevin diffusion and a piecewise deterministic Markov process, where the expensive computation of long-range pairwise interactions is replaced by a resampling of the velocities at random times. This framework allows for an acceleration in the simulation speed while preserving sampling and dynamical properties such as the diffusion constant. It can also be integrated in classical multi-time-step methods, pushing further the computational speedup, while avoiding some of the resonance issues of the latter thanks to the random nature of jumps. The JUMP, JUMP-RESPA and JUMP-RESPA1 integrators have been implemented in the GPU-accelerated version of the Tinker-HP package and are shown to provide significantly enhanced performances compared to their BAOAB, BAOAB-RESPA and BAOAB-RESPA1 counterparts, respectively.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-03-06
DOI
https://doi.org/10.1021/acs.jctc.5c00023
Citations
1
Primary Topic
Hemoglobin structure and function
Type
article
Field-Weighted Citation Impact
1.15
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article

Velocity Jumps for Molecular Dynamics

Jean‐Philip Piquemal, Thomas Plé, Louis Lagardère, Pierre Monmarché et al.
1 citations
Journal of Chemical Theory and Computation
Hemoglobin structure and function
1.15
article

Velocity Jumps for Molecular Dynamics

Jean‐Philip Piquemal, Thomas Plé, Louis Lagardère, Pierre Monmarché, Olivier Adjoua, Nicolaï Gouraud
article en
1 citations

Abstract

We introduce the Velocity Jumps approach, denoted as JUMP, a new class of Molecular dynamics integrators, replacing the Langevin dynamics by a hybrid model combining a classical Langevin diffusion and a piecewise deterministic Markov process, where the expensive computation of long-range pairwise interactions is replaced by a resampling of the velocities at random times. This framework allows for an acceleration in the simulation speed while preserving sampling and dynamical properties such as the diffusion constant. It can also be integrated in classical multi-time-step methods, pushing further the computational speedup, while avoiding some of the resonance issues of the latter thanks to the random nature of jumps. The JUMP, JUMP-RESPA and JUMP-RESPA1 integrators have been implemented in the GPU-accelerated version of the Tinker-HP package and are shown to provide significantly enhanced performances compared to their BAOAB, BAOAB-RESPA and BAOAB-RESPA1 counterparts, respectively.

Journal of Chemical Theory and ComputationVol. 21(6)
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Institut Universitaire de France (FR), Université Paris Cité (FR), Sorbonne Université (FR), Quark Pharmaceuticals (United States) (US), Sorbonne Paris Cité (FR), Laboratoire de Chimie Théorique (FR), Laboratoire Jacques-Louis Lions (FR)
Openalex Percentile: Top 27%
Hemoglobin structure and function
1.15
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