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通过与热浴强耦合实现的增强采样:Tsallis算法与多正则算法之间的关系

Enhanced sampling via strong coupling to a heat bath: relationship between Tsallis and multicanonical algorithms.

作者信息

Morishita Tetsuya, Mikami Masuhiro

机构信息

Research Institute for Computational Sciences (RICS), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan.

出版信息

J Chem Phys. 2007 Jul 21;127(3):034104. doi: 10.1063/1.2747236.

Abstract

We show that Tsallis and multicanonical statistical mechanics are equivalent under specific conditions and that they describe a system strongly coupled to a heat bath. The concept of the strong coupling to a heat bath, in which energy fluctuation is larger than that in the canonical ensemble [J. Chem. Phys. 119, 7075 (2003)], plays a key role in relating Tsallis formalism to multicanonical formalism. The equivalence between these formalisms allows us to obtain an appropriate q parameter in the Tsallis algorithm to enhance the sampling in the phase space in a manner similar to the multicanonical algorithm. An enhanced sampling in the configurational space by use of the strong coupling formalism is demonstrated in a Lennard-Jones fluid.

摘要

我们表明,在特定条件下,Tsallis统计力学和多正则统计力学是等效的,并且它们描述了一个与热浴强烈耦合的系统。与热浴强烈耦合的概念,即能量涨落大于正则系综中的能量涨落[《化学物理杂志》119, 7075 (2003)],在将Tsallis形式体系与多正则形式体系联系起来方面起着关键作用。这些形式体系之间的等效性使我们能够在Tsallis算法中获得合适的q参数,以类似于多正则算法的方式增强相空间中的采样。在Lennard-Jones流体中展示了通过使用强耦合形式体系在构型空间中的增强采样。

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