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Main Authors: Shi, Baoming, Wu, Dawei, Zhang, Lei, Zhang, Pingwen
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.21241
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author Shi, Baoming
Wu, Dawei
Zhang, Lei
Zhang, Pingwen
author_facet Shi, Baoming
Wu, Dawei
Zhang, Lei
Zhang, Pingwen
contents In the mathematical modeling of nematic liquid crystals, a practical and physically reliable $\mathbf{Q}$-tensor model can be derived from Onsager's molecular model with the Bingham closure. However, this procedure leads to a singular entropy term that implicitly depends on $\mathbf{Q}$, creating both computational and theoretical difficulties. In this paper, we characterize this entropy contribution by splitting it into a singular but explicit leading term and an implicit but regular correction term, the latter of which is proven to be sufficiently regular to be accurately approximated numerically, for example, by neural networks. This yields a computationally convenient free energy that can be used for the computation of nematic liquid crystals. Our numerical experiments demonstrate that the resulting free energy can capture the isotropic-nematic phase transition as well as the free-boundary droplet configurations.
format Preprint
id arxiv_https___arxiv_org_abs_2602_21241
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle From molecular model to tensor model of nematic liquid crystals through entropy decomposition
Shi, Baoming
Wu, Dawei
Zhang, Lei
Zhang, Pingwen
Soft Condensed Matter
76A15, 41A60, 68T07
In the mathematical modeling of nematic liquid crystals, a practical and physically reliable $\mathbf{Q}$-tensor model can be derived from Onsager's molecular model with the Bingham closure. However, this procedure leads to a singular entropy term that implicitly depends on $\mathbf{Q}$, creating both computational and theoretical difficulties. In this paper, we characterize this entropy contribution by splitting it into a singular but explicit leading term and an implicit but regular correction term, the latter of which is proven to be sufficiently regular to be accurately approximated numerically, for example, by neural networks. This yields a computationally convenient free energy that can be used for the computation of nematic liquid crystals. Our numerical experiments demonstrate that the resulting free energy can capture the isotropic-nematic phase transition as well as the free-boundary droplet configurations.
title From molecular model to tensor model of nematic liquid crystals through entropy decomposition
topic Soft Condensed Matter
76A15, 41A60, 68T07
url https://arxiv.org/abs/2602.21241