Multidimensional generalized-ensemble algorithms for complex systems

Ayori Mitsutake, Yuko Okamoto

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

We give general formulations of the multidimensional multicanonical algorithm, simulated tempering, and replica-exchange method. We generalize the original potential energy function E0 by adding any physical quantity V of interest as a new energy term. These multidimensional generalized-ensemble algorithms then perform a random walk not only in E0 space but also in V space. Among the three algorithms, the replica-exchange method is the easiest to perform because the weight factor is just a product of regular Boltzmann-like factors, while the weight factors for the multicanonical algorithm and simulated tempering are not a priori known. We give a simple procedure for obtaining the weight factors for these two latter algorithms, which uses a short replica-exchange simulation and the multiple-histogram reweighting techniques. As an example of applications of these algorithms, we have performed a two-dimensional replica-exchange simulation and a two-dimensional simulated-tempering simulation using an α -helical peptide system. From these simulations, we study the helix-coil transitions of the peptide in gas phase and in aqueous solution.

Original languageEnglish
Article number214105
JournalJournal of Chemical Physics
Volume130
Issue number21
DOIs
Publication statusPublished - 2009

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry

Fingerprint Dive into the research topics of 'Multidimensional generalized-ensemble algorithms for complex systems'. Together they form a unique fingerprint.

Cite this