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Entropy (Basel). 2021 Jun 01;23(6). doi: 10.3390/e23060700.

Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes.

Entropy (Basel, Switzerland)

Emilia Fisicaro, Carlotta Compari, Antonio Braibanti

Affiliations

  1. Food and Drug Department, University of Parma, 43121 Parma PR, Italy.

PMID: 34205970 PMCID: PMC8227759 DOI: 10.3390/e23060700

Abstract

The thermodynamic properties of hydrophobic hydration processes can be represented in probability space by a Dual-Structure Partition Function {

Keywords: binding potential functions; density entropy; ergodic algorithmic model (EAM); hydrophobic hydration process; intensity entropy; thermal equivalent dilution (TED)

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