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Building a Coarse-Grained Model Based on the Mori-Zwanzig Formalism

机译:基于Mori-Zwanzig形式主义构建粗粒模型

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We present a novel method to build a coarse-grained (CG) model based on the Mori-Zwanzig (MZ) formalism that reproduces kinetics. Our approach leads to the computation of a generalized Langevin equation (GLE), which includes the memory kernel and the fluctuation that are consistent with brute force molecular dynamics (MD) simulations. Our CG model based on the MZ formalism successfully reproduces kinetics, i.e. the distribution of first passage times (FPT) and velocity autocorrelation functions (VACF), for alanine dipeptide. In addition, we show that the memory part of the CG model of GLE is essential to reproduce kinetics. In other words, the Markovian model fails to reproduce brute force MD results, whereas the GLE model succeeds.
机译:我们提出了一种基于森夸齐格(MZ)形式的粗粒(CG)模型来构建一种新颖的方法,可再现动力学。我们的方法导致计算广义LangeVin等式(GLE),其包括与蛮力分子动力学(MD)模拟一致的存储器内核和波动。我们的CG模型基于MZ形式主义成功再现动力学,即丙氨酸二肽的第一次通过时间(FPT)和速度自相关函数(VACF)的分布。此外,我们表明,GLE的CG模型的记忆部分对于再现动力学是必不可少的。换句话说,马尔科维亚模型不能再现蛮力MD结果,而GLE模型成功。

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