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Variance-reduced random batch Langevin dynamics
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DOI：10.1063/5.0246661.png)
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The random batch method is advantageous in accelerating force calculations in particle simulations, but it poses a challenge of removing the artificial heating effect in application to the Langevin dynamics. We develop an approach to solve this issue by estimating the force variance, resulting in a variance-reduced random batch Langevin dynamics. Theoretical analysis shows the high-order local truncation error of the time step in the numerical discretization scheme, consistent with the fluctuation-dissipation theorem. The numerical results indicate that the method can achieve a significant variance reduction since a smaller batch size provides accurate approximation, demonstrating the attractive feature of the variance-reduced random batch method for Langevin dynamics.
Keyword:
FLUCTUATION-DISSIPATION
LIST ALGORITHM
SIMULATIONS
SYSTEMS
MODEL
期刊
IF:
3.1
论文数:
7.2W
被引数:
23.2W
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