Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

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Publication Details

Journal
Computational Materials Science
Published
2026-02-01
DOI
https://doi.org/10.1016/j.commatsci.2026.114568
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
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article

Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

Quentin Bizot, Guillaume Deffrennes, Ryo Tamura
Computational Materials Science
Phase Equilibria and Thermodynamics
article

Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

Quentin Bizot, Guillaume Deffrennes, Ryo Tamura
article en

Abstract

No abstract available for this paper.
Computational Materials ScienceVol. 266
Openalex Percentile: Top 63%
Phase Equilibria and Thermodynamics
DOIOpen Access PDFOpenAlex
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