Valsson Omar, Tiwary Pratyush, Parrinello Michele
Department of Chemistry and Applied Biosciences, ETH Zurich, c/o Università della Swizzera Italiana Campus, 6900 Lugano, Switzerland; email:
Facoltà di Informatica, Instituto di Scienze Computationali, Università della Svizzera Italiana, 6900 Lugano, Switzerland.
Annu Rev Phys Chem. 2016 May 27;67:159-84. doi: 10.1146/annurev-physchem-040215-112229. Epub 2016 Mar 10.
Atomistic simulations play a central role in many fields of science. However, their usefulness is often limited by the fact that many systems are characterized by several metastable states separated by high barriers, leading to kinetic bottlenecks. Transitions between metastable states are thus rare events that occur on significantly longer timescales than one can simulate in practice. Numerous enhanced sampling methods have been introduced to alleviate this timescale problem, including methods based on identifying a few crucial order parameters or collective variables and enhancing the sampling of these variables. Metadynamics is one such method that has proven successful in a great variety of fields. Here we review the conceptual and theoretical foundations of metadynamics. As demonstrated, metadynamics is not just a practical tool but can also be considered an important development in the theory of statistical mechanics.
原子模拟在许多科学领域中发挥着核心作用。然而,其效用常常受到诸多因素的限制,即许多系统具有由高势垒分隔的多个亚稳态,这导致了动力学瓶颈。因此,亚稳态之间的转变是罕见事件,其发生的时间尺度比实际模拟的时间长得多。为缓解这一时间尺度问题,人们引入了众多增强采样方法,包括基于识别一些关键序参量或集体变量并增强这些变量采样的方法。元动力学就是这样一种在众多领域都已证明成功的方法。在此,我们回顾元动力学的概念和理论基础。如所展示的,元动力学不仅是一种实用工具,也可被视为统计力学理论中的一项重要进展。