On the Random Batch Method for second order interacting particle systems
Shi Jin, Lei Li, Yiqun Sun

TL;DR
This paper analyzes the Random Batch Method (RBM) for second order interacting particle systems, proving convergence and extending its application to singular kernels in molecular dynamics.
Contribution
It establishes uniform-in-time convergence for RBM in second order systems and introduces a kernel splitting strategy for singular interactions.
Findings
Proved uniform-in-time strong convergence of RBM
Developed kernel splitting strategy for singular kernels
Numerical investigation in molecular dynamics
Abstract
We investigate several important issues regarding the Random Batch Method (RBM) for second order interacting particle systems. We first show the uniform-in-time strong convergence for second order systems under suitable contraction conditions. Secondly, we propose the application of RBM for singular interaction kernels via kernel splitting strategy, and investigate numerically the application to molecular dynamics.
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