Predicting Structural Relaxation in Supercooled Small Molecules via Molecular Dynamics Simulations and Microscopic Theory

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Autori principali: Phan, Anh D., Que, Ngo T., Duyen, Nguyen T. T.
Natura: Preprint
Pubblicazione: 2025
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author Phan, Anh D.
Que, Ngo T.
Duyen, Nguyen T. T.
author_facet Phan, Anh D.
Que, Ngo T.
Duyen, Nguyen T. T.
contents Understanding and predicting the glassy dynamics of small organic molecules is critical for applications ranging from pharmaceuticals to energy and food preservation. In this work, we present a theoretical framework that combines molecular dynamics simulations and Elastically Collective Nonlinear Langevin Equation (ECNLE) theory to predict the structural relaxation behavior of small organic glass-formers. By using propanol, glucose, fructose, and trehalose as model systems, we estimate the glass transition temperature (Tg) from stepwise cooling simulations and volume-temperature analysis. These computed Tg values are then inserted into the ECNLE theory to calculate temperature-dependent relaxation times and diffusion coefficients. Numerical results agree well with experimental data in prior works. This approach provides a predictive and experimentally-independent route for characterizing glassy dynamics in molecular materials.
format Preprint
id arxiv_https___arxiv_org_abs_2509_12092
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Predicting Structural Relaxation in Supercooled Small Molecules via Molecular Dynamics Simulations and Microscopic Theory
Phan, Anh D.
Que, Ngo T.
Duyen, Nguyen T. T.
Soft Condensed Matter
Materials Science
Statistical Mechanics
Chemical Physics
Computational Physics
Understanding and predicting the glassy dynamics of small organic molecules is critical for applications ranging from pharmaceuticals to energy and food preservation. In this work, we present a theoretical framework that combines molecular dynamics simulations and Elastically Collective Nonlinear Langevin Equation (ECNLE) theory to predict the structural relaxation behavior of small organic glass-formers. By using propanol, glucose, fructose, and trehalose as model systems, we estimate the glass transition temperature (Tg) from stepwise cooling simulations and volume-temperature analysis. These computed Tg values are then inserted into the ECNLE theory to calculate temperature-dependent relaxation times and diffusion coefficients. Numerical results agree well with experimental data in prior works. This approach provides a predictive and experimentally-independent route for characterizing glassy dynamics in molecular materials.
title Predicting Structural Relaxation in Supercooled Small Molecules via Molecular Dynamics Simulations and Microscopic Theory
topic Soft Condensed Matter
Materials Science
Statistical Mechanics
Chemical Physics
Computational Physics
url https://arxiv.org/abs/2509.12092