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Generalized Energy-Conserving Dissipative Particle Dynamics with Mass Transfer. Part 2: Applications and Demonstrations.
Lísal, Martin; Avalos, Josep Bonet; Larentzos, James P; Mackie, Allan D; Brennan, John K.
Afiliación
  • Lísal M; Department of Molecular and Mesoscopic Modelling, The Czech Academy of Sciences, Institute of Chemical Process Fundamentals, Prague 165 01, Czech Republic.
  • Avalos JB; Department of Physics, Faculty of Science, J. E. Purkyne University, Ústí nad Labem 400 96, Czech Republic.
  • Larentzos JP; Department d'Enginyeria Química, ETSEQ, Universitat Rovira i Virgili, Tarragona 43007 Spain.
  • Mackie AD; U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory, Aberdeen Proving Ground, Maryland, 21005 United States.
  • Brennan JK; Department d'Enginyeria Química, ETSEQ, Universitat Rovira i Virgili, Tarragona 43007 Spain.
J Chem Theory Comput ; 18(12): 7653-7670, 2022 Dec 13.
Article en En | MEDLINE | ID: mdl-36399703
ABSTRACT
We present the second part of a two-part paper series intended to address a gap in computational capability for coarse-grain particle modeling and simulation, namely, the simulation of phenomena in which diffusion via mass transfer is a contributing mechanism. In part 1, we presented a formulation of a dissipative particle dynamics method to simulate interparticle mass transfer, termed generalized energy-conserving dissipative particle dynamics with mass transfer (GenDPDE-M). In the GenDPDE-M method, the mass of each mesoparticle remains constant following the interparticle mass exchange. In part 2 of this series, further verification and demonstrations of the GenDPDE-M method are presented for mesoparticles with embedded binary mixtures using the ideal gas (IG) and van der Waals (vdW) equation-of-state (EoS). The targeted readership of part 2 is toward practitioners, where applications and practical considerations for implementing the GenDPDE-M method are presented and discussed, including a numerical discretisztion algorithm for the equations-of-motion. The GenDPDE-M method is verified by reproducing the particle distributions predicted by Monte Carlo simulations for the IG and vdW fluids, along with several demonstrations under both equilibrium and non-equilibrium conditions. GenDPDE-M can be generally applied to multi-component mixtures and to other fundamental EoS, such as the Lennard-Jones or Exponential-6 models, as well as to more advanced EoS models such as Statistical Associating Fluid Theory.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chem Theory Comput Año: 2022 Tipo del documento: Article País de afiliación: República Checa

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chem Theory Comput Año: 2022 Tipo del documento: Article País de afiliación: República Checa