Effect of time step size on configurational temperature accuracy in dissipative particle dynamics simulation of complex fluids

2018 ◽  
Vol 2018.67 (0) ◽  
pp. 504
Author(s):  
Shinto OGAWA ◽  
Toru YAMADA ◽  
Shinji TAMANO ◽  
Yohei MORINISHI
Author(s):  
Meysam Joulaian ◽  
Sorush Khajepor ◽  
Ahmadreza Pishevar ◽  
Yaser Afshar

Dissipative particle dynamics (DPD) is an emerging method for simulating problems at mesoscopic time and length scales. In this paper, we present a new algorithm to describe the hydrodynamics of a perfect conductive fluid in the presence of an electric field. The model is based on solving the electrostatic equations in each DPD time step for determining the charge distribution at the fluid interface and, therefore, corresponding electrical forces exerted by the electric field to the particles near the interface. The method is applied to a perfect conductive pendant drop which is immersed in a perfect dielectric and hydrodynamically inactive ambient. We have shown that when the applied voltage is sufficiently high, the drop shape is changed to a cone with an apex angle which is near to the Taylor analytical estimation of 98.6°. Our results reveal that the presented algorithm gives new capabilities to the conventional DPD method for simulating nanoscale problems in the presence of an electric field.


Soft Matter ◽  
2017 ◽  
Vol 13 (36) ◽  
pp. 6178-6188 ◽  
Author(s):  
Haina Tan ◽  
Chunyang Yu ◽  
Zhongyuan Lu ◽  
Yongfeng Zhou ◽  
Deyue Yan

This work discloses for the first time the self-assembly phase diagrams of amphiphilic hyperbranched multiarm copolymers in various solvents by dissipative particle dynamics simulations.


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