Generalized Energy-Conserving Dissipative Particle Dynamics with Mass Transfer. Part 1: Theoretical Foundation and Algorithm

被引:4
作者
Avalos, Josep Bonet [1 ]
Lisal, Martin [2 ,3 ]
Larentzos, James P. [4 ]
Mackie, Allan D. [1 ]
Brennan, John K. [4 ]
机构
[1] Univ Rovira i Virgili, Dept Engn Quim, ETSEQ, Tarragona 43007, Spain
[2] Czech Acad Sci, Inst Chem Proc Fundamentals, Dept Mol & Mesoscop Modeling, Prague 16501, Czech Republic
[3] J E Purknc Univ, Fac Sci, Dept Phys, Usti Nad Labem 40096, Czech Republic
[4] US Army Combat Capabil Dev Command DEVCOM, Army Res Lab, Aberdeen Proving Ground, MD 21005 USA
关键词
HIGH-TEMPERATURE; SIMULATION; CONSERVATION; MODELS;
D O I
10.1021/acs.jctc.2c00452
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
An extension of the generalized energy-conserving dissipative particle dynamics method (GenDPDE) that allows mass transfer between mesoparticles via a diffusion process is presented. By considering the concept of the mesoparticles as property carriers, the complexity and flexibility of the GenDPDE framework were enhanced to allow for interparticle mass transfer under isoenergetic conditions, notated here as GenDPDE-M. In the formulation, diffusion is described via the theory of mesoscale irreversible processes based on linear relationships between the fluxes and thermodynamic forces, where their fluctuations are described by Langevin-like equations. The mass exchange between mesoparticles is such that the mass of the mesoparticle remains unchanged after the transfer process and requires additional considerations regarding the coupling with other system properties such as the particle internal energy. The proof-of-concept work presented in this article is the first part of a two-part article series. In Part 1, the development of the GenDPDE-M theoretical framework and the derivation of the algorithm are presented in detail. Part 2 of this article series is targeted for practitioners, where applications, demonstrations, and practical considerations for implementing the GenDPDE-M method are presented and discussed.
引用
收藏
页码:7639 / 7652
页数:14
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