Published April 27, 2020 | Version v1
Dataset Open

Iterative unbiasing of quasi-equilibrium sampling

  • 1. Laboratory of Computational Science and Modeling, Institute of Materials, École Polytechnique Fédérale de Lausanne (EPFL), CH-1951 Sion, Valais, Switzerland
  • 2. Trinity College, University of Cambridge, Cambridge CB2 1TQ, United Kingdom
  • 3. Atomistic Simulation Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast, BT14 7EN, United Kingdom

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Description

This repository contains the PLUMED-2 input files required to generate the data used in the ITRE publications. ITRE is a method to reweight Molecular Dynamics trajectory biased with a history-dependent potential (such as Metadynamics), and calculate unbiased thermodynamic observables. Since it uses the trajectory itself as a proxy of a grid, its scaling does not depend on the dimensionality of the space explored. In addition, thanks to its formulation, it is less affected by out-of-equilibrium points that characterize the early stages of a biased calculation and are usually discarded. Thanks to this feature, it can be used to increase the statistics when evaluating a thermodynamic observable from biased calculation.

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References

Journal reference (Paper in which the method is described.)
F. Giberti, B. Cheng, G. A. Tribello, M. Ceriotti, Journal of Chemical Theory and Computation, 16, 1, 100-107, (2020)., doi: 10.1021/acs.jctc.9b00907