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Free-Energy Surface Prediction by Flying Gaussian Method: Multisystem Representation
Author(s) -
Pavel Kříž,
Zoran Šućur,
Vojtěch Spiwok
Publication year - 2017
Publication title -
the journal of physical chemistry b
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.7b09337
Subject(s) - replica , gaussian , energy (signal processing) , statistical physics , convergence (economics) , computer science , perspective (graphical) , representation (politics) , surface (topology) , sampling (signal processing) , sample (material) , gaussian process , sampling bias , algorithm , physics , artificial intelligence , statistics , mathematics , sample size determination , telecommunications , quantum mechanics , detector , geometry , art , law , economic growth , visual arts , political science , politics , economics , thermodynamics
Flying Gaussian method simulates multiple replicas of the studied system and enhances sampling by disfavoring replicas to simultaneously sample similar states. The bias potential used for this enhancement is highly dynamic when looking at individual replica, which raises concerns about the accuracy of free-energy surfaces predicted by reweighing methods. Here we show that the bias potential can be considered as static when looking at the simulation from a multisystem perspective. We present two equations that can be used to predict the free-energy surface, and we demonstrate their convergence.

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