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Exponential-time differencing schemes for low-mass DPD systems

机译:低质量DPD系统的指数时间微分方案

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摘要

Several exponential-time differencing (ETD) schemes are introduced into the method of dissipative particle dynamics (DPD) to solve the resulting stiff stochastic differential equations in the limit of small mass, where emphasis is placed on the handling of the fluctuating terms (i.e., those involving random forces). Their performances are investigated numerically in some test viscometric flows. Results obtained show that the present schemes outperform the velocity-Verlet algorithm regarding both the satisfaction of equipartition and the maximum allowable time step.
机译:在耗散粒子动力学(DPD)的方法中引入了几种指数时间微分(ETD)方案,以解决在小质量范围内产生的刚性随机微分方程的问题,其中重点在于波动项的处理(即,那些涉及随机力量的人。在一些测试粘度流中对它们的性能进行了数值研究。获得的结果表明,在均分的满足性和最大允许时间步长方面,本方案均优于速度Verlet算法。

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