Controlling the Glass Transition through Active Fluctuating Interactions
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866911144559509504 |
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| author | Sezik, Emir Alston, Henry Bertrand, Thibault |
| author_facet | Sezik, Emir Alston, Henry Bertrand, Thibault |
| contents | Fluctuating pairwise interactions are understood to drive fluid-like states in dense biological systems. These states find a broad range of functionalities, such as directing growth during morphogenesis and forming aggregates with heightened mechanical response. However, a tractable model capturing the role of microscopic fluctuating interactions in these structural transitions is crucially lacking. Here, we study a $p$-spin model with fluctuating pairwise couplings (of strength $D_a$ and persistence time $t_a$) as a schematic model for interaction-mediated fluidization. We find that while stronger fluctuations suppress the glass transition, more persistent fluctuations have the opposite effect. We identify the presence of an emergent fluctuation-dissipation relation at long times. We numerically extract the critical temperature $T_c(D_a, t_a)$ from a scaling relation near the transition, illustrating how microscopic fluctuations control the glass transition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_07619 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Controlling the Glass Transition through Active Fluctuating Interactions Sezik, Emir Alston, Henry Bertrand, Thibault Statistical Mechanics Disordered Systems and Neural Networks Soft Condensed Matter Fluctuating pairwise interactions are understood to drive fluid-like states in dense biological systems. These states find a broad range of functionalities, such as directing growth during morphogenesis and forming aggregates with heightened mechanical response. However, a tractable model capturing the role of microscopic fluctuating interactions in these structural transitions is crucially lacking. Here, we study a $p$-spin model with fluctuating pairwise couplings (of strength $D_a$ and persistence time $t_a$) as a schematic model for interaction-mediated fluidization. We find that while stronger fluctuations suppress the glass transition, more persistent fluctuations have the opposite effect. We identify the presence of an emergent fluctuation-dissipation relation at long times. We numerically extract the critical temperature $T_c(D_a, t_a)$ from a scaling relation near the transition, illustrating how microscopic fluctuations control the glass transition. |
| title | Controlling the Glass Transition through Active Fluctuating Interactions |
| topic | Statistical Mechanics Disordered Systems and Neural Networks Soft Condensed Matter |
| url | https://arxiv.org/abs/2509.07619 |