Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
J Chem Phys. 2018 Aug 21;149(7):072325. doi: 10.1063/1.5027078.
An algorithm to efficiently simulate multi-component fluids is proposed and illustrated. The focus is on biological membranes that are heterogeneous and challenging to investigate quantitatively. To achieve rapid equilibration of spatially inhomogeneous fluids, we mix conventional molecular dynamics simulations with alchemical trajectories. The alchemical trajectory switches the positions of randomly selected pairs of molecules and plays the role of an efficient Monte Carlo move. It assists in accomplishing rapid spatial de-correlations. Examples of phase separation and mixing are given in two-dimensional binary Lennard-Jones fluid and a DOPC-POPC membrane. The performance of the algorithm is analyzed, and tools to maximize its efficiency are provided. It is concluded that the algorithm is vastly superior to conventional molecular dynamics for the equilibrium study of biological membranes.
提出并说明了一种高效模拟多组分流体的算法。重点是研究具有非均相和定量挑战性的生物膜。为了实现空间不均匀流体的快速平衡,我们将传统的分子动力学模拟与化学轨道混合。化学轨道随机选择分子对的位置并充当有效的蒙特卡罗移动。它有助于实现快速的空间去相关。在二维二元 Lennard-Jones 流体和 DOPC-POPC 膜中给出了相分离和混合的示例。分析了算法的性能,并提供了最大化其效率的工具。结论是,对于生物膜的平衡研究,该算法远优于传统的分子动力学。