A stochastic Hamiltonian formulation applied to dissipative particle dynamics

Linyu Peng, Noriyoshi Arai and Kenji Yasuoka

Applied Mathematics and Computation, 2022, vol. 426, issue C

Abstract: In this paper, a stochastic Hamiltonian formulation (SHF) is proposed and applied to dissipative particle dynamics (DPD) simulations. As an extension of Hamiltonian dynamics to stochastic dissipative systems, the SHF provides necessary foundations and great convenience for constructing efficient numerical integrators. As a first attempt, we develop the Störmer–Verlet type of schemes based on the SHF, which are structure-preserving for deterministic Hamiltonian systems without external forces, the dissipative forces in DPD. Long-time behaviour of the schemes is shown numerically by studying the damped Kubo oscillator. In particular, the proposed schemes include the conventional Groot–Warren’s modified velocity-Verlet method and a modified version of Gibson–Chen–Chynoweth as special cases. The schemes are applied to DPD simulations and analysed numerically.

Keywords: Dissipative particle dynamics; Hamiltonian mechanics; Stochastic differential equations; Störmer–Verlet methods (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:426:y:2022:i:c:s0096300322002107

DOI: 10.1016/j.amc.2022.127126

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