Dissipative particle dynamics simulations of polymersomes.

Dissipative Particle Dynamics simulation hydrated Nafion EW 1200 as fuel cell membrane in nanoscopic scale

The microphase separation of hydrated perfluorinated sulfonic acid membrane Nafion was investigated using Dissipative Particle Dynamics (DPD). The nafion as a polymer was modelled by connecting coarse grained beads which corresponds to the hydrophobic backbone of polytetrafluoroethylene and perfluorinated side chains terminated by hydrophilic end particles of sulfonic acid groups [1, 2]. Each f...

Application of the Dissipative Particle Dynamics Method to Ferromagnetic Colloidal Dispersions

We have investigated the validity of the application of the dissipative particle dynamics (DPD) method to ferromagnetic colloidal dispersions by conducting DPD simulations for a two-dimensional system. Firstly, the interaction between dissipative and magnetic particles has been idealized as some model potentials, and DPD simulations have been carried out using such model potentials for a two ma...

Abstract Submitted for the MAR06 Meeting of The American Physical Society Dissipative Particle Dynamics Simulations of Two-Phase Flows

Submitted for the MAR06 Meeting of The American Physical Society Dissipative Particle Dynamics Simulations of Two-Phase Flows ANUPAM TIWARI, JOHN ABRAHAM, School of Mechanical Engineering, Purdue University — Dissipative particle dynamics (DPD) is a coarse-grained particle method that includes thermal fluctuations. A mean-field theory based model is developed for two-phase flows. Surface tensio...

Heat Conduction Modeling with Energy Conservation Dissipative Particle Dynamics

We study by means of numerical simulations the model of dissipative particle dynamics with energy conservation for the simple case of thermal conduction. The model can be understood as a versatile discretization of the heat conduction equation on a random lattice including thermal uctuations.

Integration schemes for dissipative particle dynamics simulations: From softly interacting systems towards hybrid models