Bussi Giovanni, Laio Alessandro, Parrinello Michele
Computational Science, Department of Chemistry and Applied Biosciences, Eidgenössische Technische Hochschule Zürich, c/o USI Campus, Via Buffi 13, CH-6900 Lugano, Switzerland.
Phys Rev Lett. 2006 Mar 10;96(9):090601. doi: 10.1103/PhysRevLett.96.090601. Epub 2006 Mar 7.
In this Letter we propose a new formalism to map history-dependent metadynamics in a Markovian process. We apply this formalism to model Langevin dynamics and determine the equilibrium distribution of a collection of simulations. We demonstrate that the reconstructed free energy is an unbiased estimate of the underlying free energy and analytically derive an expression for the error. The present results can be applied to other history-dependent stochastic processes, such as Wang-Landau sampling.
在本信函中,我们提出一种新的形式体系,用于将依赖历史的元动力学映射到马尔可夫过程中。我们应用这种形式体系对朗之万动力学进行建模,并确定一组模拟的平衡分布。我们证明,重构的自由能是基础自由能的无偏估计,并通过分析得出误差的表达式。目前的结果可应用于其他依赖历史的随机过程,如王-兰道抽样。