Generalized approach for rapid entropy calculation of liquids and solids

We build a comprehensive methodology for the fast computation of entropy across both solid and liquid phases. The proposed method utilizes a single trajectory of molecular dynamics (MD) to facilitate the calculation of entropy, which is composed of three components. The electronic entropy is determined through the temporal average acquired from density functional theory MD simulations. The vibrational entropy, typically the predominant contributor to the total entropy, even within the liquid state, is evaluated by computing the phonon density of states via the velocity autocorrelation function. The most arduous component to quantify, the configurational entropy, is assessed by probability analysis of the local structural arrangement and atomic distribution. We illustrate, through a variety of examples, that this method is both a versatile and valid technique for characterizing the thermodynamic states of both solids and liquids. Furthermore, this method is employed to expedite the calculation of melting temperatures, demonstrating its practical utility in computational thermodynamics.

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Publication Details

Journal
Physical Review Research
Published
2025-02-07
DOI
https://doi.org/10.1103/physrevresearch.7.l012030
Citations
9
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
4.66

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article

Generalized approach for rapid entropy calculation of liquids and solids

Qi‐Jun Hong, Zi‐Kui Liu
9 citations
Physical Review Research
Machine Learning in Materials Science
4.66
article

Generalized approach for rapid entropy calculation of liquids and solids

Qi‐Jun Hong, Zi‐Kui Liu
article en
9 citations

Abstract

We build a comprehensive methodology for the fast computation of entropy across both solid and liquid phases. The proposed method utilizes a single trajectory of molecular dynamics (MD) to facilitate the calculation of entropy, which is composed of three components. The electronic entropy is determined through the temporal average acquired from density functional theory MD simulations. The vibrational entropy, typically the predominant contributor to the total entropy, even within the liquid state, is evaluated by computing the phonon density of states via the velocity autocorrelation function. The most arduous component to quantify, the configurational entropy, is assessed by probability analysis of the local structural arrangement and atomic distribution. We illustrate, through a variety of examples, that this method is both a versatile and valid technique for characterizing the thermodynamic states of both solids and liquids. Furthermore, this method is employed to expedite the calculation of melting temperatures, demonstrating its practical utility in computational thermodynamics.

Physical Review ResearchVol. 7(1)
Pennsylvania State University (US), Arizona State University (US)
Office of Science
Openalex Percentile: Top 5%
Machine Learning in Materials Science
4.66
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