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Regularized Bennett and Zwanzig free energy estimators.
Decherchi, S; Ciccotti, G; Cavalli, A.
Affiliation
  • Decherchi S; Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.
  • Ciccotti G; Istituto per le Applicazioni del Calcolo "Mauro Picone" IAC-CNR, Rome, Italy.
  • Cavalli A; Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.
J Chem Phys ; 158(12): 124101, 2023 Mar 28.
Article in En | MEDLINE | ID: mdl-37003764
ABSTRACT
We consider the problem of free energy estimation from the general perspective of regularization and Bayes estimation theory. We try to take advantage of an assumed a priori knowledge of the free energy. We reformulate the original Bennett acceptance ratio method, in this perspective, devise a numerical algorithm to solve it, and give a closed formula to estimate the confidence in the prior. Finally, we test the derived estimators by applying them to a toy model.

Full text: 1 Database: MEDLINE Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Language: En Year: 2023 Type: Article