Reinforcement learning of a biflagellate model microswimmer
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866913999923183616 |
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| author | Bulusu, Sridhar Zöttl, Andreas |
| author_facet | Bulusu, Sridhar Zöttl, Andreas |
| contents | Many microswimmers are able to swim through viscous fluids by employing periodic non-reciprocal deformations of their appendages. Here we use a simple microswimmer model inspired by swimming biflagellates which consists of a spherical cell body and two small spherical beads representing the motion of the two flagella. Using reinforcement learning we identify for different microswimmer morphologies quasi-optimized swimming strokes. For all studied cases the identified strokes result in symmetric and quasi-synchronized beating of the two flagella beads. Interestingly, the stroke-averaged flow fields are of pusher type, and the observed swimming gaits outperform previously used biflagellate microswimmer models relying on predefined circular flagella bead motion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_15561 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reinforcement learning of a biflagellate model microswimmer Bulusu, Sridhar Zöttl, Andreas Soft Condensed Matter Biological Physics Computational Physics Many microswimmers are able to swim through viscous fluids by employing periodic non-reciprocal deformations of their appendages. Here we use a simple microswimmer model inspired by swimming biflagellates which consists of a spherical cell body and two small spherical beads representing the motion of the two flagella. Using reinforcement learning we identify for different microswimmer morphologies quasi-optimized swimming strokes. For all studied cases the identified strokes result in symmetric and quasi-synchronized beating of the two flagella beads. Interestingly, the stroke-averaged flow fields are of pusher type, and the observed swimming gaits outperform previously used biflagellate microswimmer models relying on predefined circular flagella bead motion. |
| title | Reinforcement learning of a biflagellate model microswimmer |
| topic | Soft Condensed Matter Biological Physics Computational Physics |
| url | https://arxiv.org/abs/2508.15561 |