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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.21512 |
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| _version_ | 1866915951783444480 |
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| author | Simon, Romain Bobas, Hadrien Villemot, François Barrat, Jean-Louis Berthier, Ludovic |
| author_facet | Simon, Romain Bobas, Hadrien Villemot, François Barrat, Jean-Louis Berthier, Ludovic |
| contents | We show that all existing methods quantifying rotational motion in molecular fluids eventually fail in systems undergoing complex rotational motion characterised by slow, heterogeneous, or intermittent dynamics. This impacts in particular the study of rotational dynamics in molecular supercooled liquids near their glass transition, as well as discussions of the decoupling between rotational and translational motion and violations of the Debye-Stokes-Einstein relation. We present a brief overview of existing methods and explain why none of them can accurately capture the evolution of rotational dynamics from a diffusive fluid to an arrested solid, thus resolving inconsistent literature results. We then introduce an empirical method that efficiently solves all issues. We benchmark our method devising a family of continuous time random walk models for rotational dynamics. Our method correctly quantifies the statistics of free and caged rotational motion, as well as non-Gaussian and non-Fickian rotational dynamics, and should allow a better characterisation of dynamic heterogeneity in the rotational motion of supercooled molecular fluids. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_21512 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | How to quantify long-time rotational motion in molecular systems Simon, Romain Bobas, Hadrien Villemot, François Barrat, Jean-Louis Berthier, Ludovic Statistical Mechanics Disordered Systems and Neural Networks Materials Science Soft Condensed Matter Chemical Physics We show that all existing methods quantifying rotational motion in molecular fluids eventually fail in systems undergoing complex rotational motion characterised by slow, heterogeneous, or intermittent dynamics. This impacts in particular the study of rotational dynamics in molecular supercooled liquids near their glass transition, as well as discussions of the decoupling between rotational and translational motion and violations of the Debye-Stokes-Einstein relation. We present a brief overview of existing methods and explain why none of them can accurately capture the evolution of rotational dynamics from a diffusive fluid to an arrested solid, thus resolving inconsistent literature results. We then introduce an empirical method that efficiently solves all issues. We benchmark our method devising a family of continuous time random walk models for rotational dynamics. Our method correctly quantifies the statistics of free and caged rotational motion, as well as non-Gaussian and non-Fickian rotational dynamics, and should allow a better characterisation of dynamic heterogeneity in the rotational motion of supercooled molecular fluids. |
| title | How to quantify long-time rotational motion in molecular systems |
| topic | Statistical Mechanics Disordered Systems and Neural Networks Materials Science Soft Condensed Matter Chemical Physics |
| url | https://arxiv.org/abs/2604.21512 |