Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy Method

2008/03/27 by Alessandro Barducci, Giovanni Bussi, Michele Parrinello · 3 citations
Physics and Astronomy · #cond-mat.stat-mech #physics.chem-ph #physics.comp-ph

paper · pdf · doi:10.1103/physrevlett.100.020603

published as A. Barducci, G. Bussi and M. Parrinello, Phys. Rev. Lett. 100, 020603 (2008)

arxiv created 2008/03/27 · arxiv updated 2009/12/01

Abstract

We present a method for determining the free energy dependence on a selected number of collective variables using an adaptive bias. The formalism provides a unified description which has metadynamics and canonical sampling as limiting cases. Convergence and errors can be rigorously and easily controlled. The parameters of the simulation can be tuned so as to focus the computational effort only on the physically relevant regions of the order parameter space. The algorithm is tested on the reconstruction of alanine dipeptide free energy landscape.

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