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Efficient Algorithms for Langevin and DPD Dynamics
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DOI：10.1021/ct3000876.png)
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In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics and different variants of Dissipative Particle Dynamics (DPD), applicable to systems with or without constraints. The algorithms are based on the impulsive application of friction and noise, thus avoiding the computational complexity of algorithms that apply continuous friction and noise. Simulation results on thermostat strength and diffusion properties for ideal gas, coarse-grained (MARTINI) water, and constrained atomic (SPC/E) water systems are discussed. We show that the measured thermal relaxation rates agree well with theoretical predictions. The influence of various parameters on the diffusion coefficient is discussed.
Keyword:
DISSIPATIVE PARTICLE DYNAMICS
MOLECULAR-DYNAMICS
BROWNIAN DYNAMICS
STOCHASTIC DYNAMICS
CANONICAL-ENSEMBLE
SIMULATIONS
CONSTRAINTS
EQUATIONS
ALKANES
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期刊
IF:
5.5
论文数:
1.1W
被引数:
5.4W
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