Suppr超能文献

具有连续相互作用势的粗粒化晶格蒙特卡罗模拟。

Coarse-grained lattice Monte Carlo simulations with continuous interaction potentials.

作者信息

Liu Xiao, Seider Warren D, Sinno Talid

机构信息

Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

出版信息

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.

Abstract

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.

摘要

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。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验