Transition-path sampling for Run-and-Tumble particles
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866916487846952960 |
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| author | Kiechl, Thomas Franosch, Thomas Caraglio, Michele |
| author_facet | Kiechl, Thomas Franosch, Thomas Caraglio, Michele |
| contents | We elaborate and validate a generalization of the renowned transition-path-sampling algorithm for a paradigmatic model of active particles, namely the Run-and-Tumble particles. Notwithstanding the non-equilibrium character of these particles, we show how the consequent lack of the microscopical reversibility property, which is usually required by transition-path sampling, can be circumvented by identifying reasonable backward dynamics with a well-defined path-probability density. Our method is then applied to characterize the structure and kinetics of rare transition pathways undergone by Run-and-Tumble particles having to cross a potential barrier in order to find a target. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_12368 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Transition-path sampling for Run-and-Tumble particles Kiechl, Thomas Franosch, Thomas Caraglio, Michele Soft Condensed Matter Statistical Mechanics Computational Physics We elaborate and validate a generalization of the renowned transition-path-sampling algorithm for a paradigmatic model of active particles, namely the Run-and-Tumble particles. Notwithstanding the non-equilibrium character of these particles, we show how the consequent lack of the microscopical reversibility property, which is usually required by transition-path sampling, can be circumvented by identifying reasonable backward dynamics with a well-defined path-probability density. Our method is then applied to characterize the structure and kinetics of rare transition pathways undergone by Run-and-Tumble particles having to cross a potential barrier in order to find a target. |
| title | Transition-path sampling for Run-and-Tumble particles |
| topic | Soft Condensed Matter Statistical Mechanics Computational Physics |
| url | https://arxiv.org/abs/2411.12368 |