Li Zhen, Bian Xin, Caswell Bruce, Karniadakis George Em
Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
Soft Matter. 2014 Nov 21;10(43):8659-72. doi: 10.1039/c4sm01387e.
We present a bottom-up coarse-graining procedure to construct mesoscopic force fields directly from microscopic dynamics. By grouping many bonded atoms in the molecular dynamics (MD) system into a single cluster, we compute both the conservative and non-conservative interactions between neighboring clusters. In particular, we perform MD simulations of polymer melts to provide microscopic trajectories for evaluating coarse-grained (CG) interactions. Subsequently, dissipative particle dynamics (DPD) is considered as the effective dynamics resulting from the Mori-Zwanzig (MZ) projection of the underlying atomistic dynamics. The forces between finite-size clusters have, in general, both radial and transverse components and hence we employ four different DPD models to account differently for such interactions. Quantitative comparisons between these DPD models indicate that the DPD models with MZ-guided force fields yield much better static and dynamics properties, which are consistent with the underlying MD system, compared to standard DPD with empirical formulae. When the rotational motion of the particle is properly taken into account, the entire velocity autocorrelation function of the MD system as well as the pair correlation function can be accurately reproduced by the MD-informed DPD model. Since this coarse-graining procedure is performed on an unconstrained MD system, our framework is general and can be used in other soft matter systems in which the clusters can be faithfully defined as CG particles.
我们提出了一种自下而上的粗粒化方法,可直接从微观动力学构建介观力场。通过将分子动力学(MD)系统中的许多键合原子分组为单个簇,我们计算相邻簇之间的保守和非保守相互作用。特别是,我们对聚合物熔体进行MD模拟,以提供用于评估粗粒化(CG)相互作用的微观轨迹。随后,耗散粒子动力学(DPD)被视为由基础原子动力学的Mori-Zwanzig(MZ)投影产生的有效动力学。有限尺寸簇之间的力通常具有径向和横向分量,因此我们采用四种不同的DPD模型来不同地考虑此类相互作用。这些DPD模型之间的定量比较表明,与具有经验公式的标准DPD相比,具有MZ引导力场的DPD模型产生的静态和动力学性质要好得多,这与基础MD系统一致。当适当考虑粒子的旋转运动时,MD系统的整个速度自相关函数以及对关联函数可以由MD告知的DPD模型准确再现。由于这种粗粒化过程是在无约束的MD系统上执行的,我们的框架是通用的,可用于其他软物质系统,其中簇可以如实地定义为CG粒子。