Literature DB >> 11863585

Tsallis dynamics using the Nosé-Hoover approach.

Ikuo Fukuda1, Haruki Nakamura.   

Abstract

On the basis of the Nosé-Hoover method, we developed a deterministic algorithm that produces an arbitrary probability density. An ordinary differential equation in the algorithm can realize the Tsallis distribution density. The Tsallis distribution has been considered a candidate of a distribution that represents a physical system in a heat bath. The Tsallis distribution density employed in this algorithm is defined using a full energy function form E(x,p), along with the Tsallis index q > or = 1. Using the current equation, numerical simulations were performed for simple systems and the Tsallis distributions were observed.

Year:  2002        PMID: 11863585     DOI: 10.1103/PhysRevE.65.026105

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Generalized simulated tempering for exploring strong phase transitions.

Authors:  Jaegil Kim; John E Straub
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

2.  Optimal replica exchange method combined with Tsallis weight sampling.

Authors:  Jaegil Kim; John E Straub
Journal:  J Chem Phys       Date:  2009-04-14       Impact factor: 3.488

  2 in total

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