Liu Xiao, Seider Warren D, Sinno Talid
Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Aug;86(2 Pt 2):026708. doi: 10.1103/PhysRevE.86.026708. Epub 2012 Aug 16.
A coarse-grained lattice Metropolis Monte Carlo (CG-MMC) method is presented for simulating fluid systems described by standard molecular force fields. First, a thermodynamically consistent coarse-grained interaction potential is obtained numerically and automatically from a continuous force field such as Lennard-Jones. The coarse-grained potential then is used to drive CG-MMC simulations of vapor-liquid equilibrium in Lennard-Jones, square-well, and simple point charge water systems. The CG-MMC predicts vapor-liquid phase envelopes, as well as the particle density distributions in both the liquid and vapor phases, in excellent agreement with full-resolution Monte Carlo simulations, at a fraction of the computational cost.
提出了一种粗粒度晶格 metropolis 蒙特卡罗(CG-MMC)方法,用于模拟由标准分子力场描述的流体系统。首先,从诸如 Lennard-Jones 等连续力场中数值自动获得热力学一致的粗粒度相互作用势。然后,该粗粒度势用于驱动 Lennard-Jones、方阱和简单点电荷水系统中汽液平衡的 CG-MMC 模拟。CG-MMC 预测了汽液相平衡包络线以及液相和汽相中的粒子密度分布,与全分辨率蒙特卡罗模拟结果高度吻合,而计算成本仅为其一小部分。