1992
DOI: 10.1209/0295-5075/19/3/001
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Simulating Microscopic Hydrodynamic Phenomena with Dissipative Particle Dynamics

Abstract: We present a novel method for simulating hydrodynamic phenomena. This particle-based method combines features from molecular dynamics and lattice-gas automata. I t is shown theoretically as well as in simulations that a quantitative description of isothermal Navier-Stokes flow is obtained with relatively few particles. Computationally, the method is much faster than molecular dynamics, and the at same time it is much more flexible than lattice-gas automata schemes.

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Cited by 3,411 publications
(2,713 citation statements)
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References 12 publications
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“…The concept of DPD was first devised in 1992 by Hoogerbrugge and Koelman, 136 however the form of the equations of motion they developed was incomplete. In addition, their numerical solution to the equations of motion made use of an Euler algorithm which violates time reversibility.…”
Section: Dissipative Particle Dynamics (Dpd)mentioning
confidence: 99%
“…The concept of DPD was first devised in 1992 by Hoogerbrugge and Koelman, 136 however the form of the equations of motion they developed was incomplete. In addition, their numerical solution to the equations of motion made use of an Euler algorithm which violates time reversibility.…”
Section: Dissipative Particle Dynamics (Dpd)mentioning
confidence: 99%
“…It is a coarse-grained simulation technique originally developed by Hoogerbrugger and Koelman. [18][19] This technique allows for the simulation of hydrodynamic behavior in much larger and more complex systems than the classic molecular dynamics and Monte Carlo simulations, which can be captured up to the microsecond range. Recently, this method has been successfully used to study the microstructure and properties of polymers in their bulk state and in solution.…”
Section: Experimental Procedures Simulation Theory and Methodsmentioning
confidence: 99%
“…The simulations presented in this contribution are carried out with Dissipative Particle Dynamics (DPD) [35]. By combining several aspects of Molecular Dynamics and lattice-gas automata, DPD captures hydrodynamic time and length scales much larger than can be reached with the first method and it avoids the lattice artifacts of the latter method.…”
Section: Dissipative Particle Dynamicsmentioning
confidence: 99%