Direct numerical analysis of dynamic facilitation in glass-forming liquids
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2023
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| _version_ | 1866929396164591616 |
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| author | Herrero, Cecilia Berthier, Ludovic |
| author_facet | Herrero, Cecilia Berthier, Ludovic |
| contents | We propose a computational strategy to quantify the temperature evolution of the timescales and lengthscales over which dynamic facilitation affects the relaxation dynamics of glass-forming liquids at low temperatures, that requires no assumption about the nature of the dynamics. In two glass models, we find that dynamic facilitation depends strongly on temperature, leading to a subdiffusive spreading of relaxation events which we characterize using a temperature-dependent dynamic exponent. We also establish that this temperature evolution represents a major contribution to the increase of the structural relaxation time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_16935 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Direct numerical analysis of dynamic facilitation in glass-forming liquids Herrero, Cecilia Berthier, Ludovic Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics We propose a computational strategy to quantify the temperature evolution of the timescales and lengthscales over which dynamic facilitation affects the relaxation dynamics of glass-forming liquids at low temperatures, that requires no assumption about the nature of the dynamics. In two glass models, we find that dynamic facilitation depends strongly on temperature, leading to a subdiffusive spreading of relaxation events which we characterize using a temperature-dependent dynamic exponent. We also establish that this temperature evolution represents a major contribution to the increase of the structural relaxation time. |
| title | Direct numerical analysis of dynamic facilitation in glass-forming liquids |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics |
| url | https://arxiv.org/abs/2310.16935 |