Bulusu Sridhar, Zöttl Andreas
Faculty of Physics, University of Vienna, Kolingasse 14-16, 1090, Vienna, Austria.
Eur Phys J E Soft Matter. 2025 Aug 13;48(8-9):50. doi: 10.1140/epje/s10189-025-00513-3.
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.
许多微生物能够通过其附属肢体的周期性非互易变形在粘性流体中游泳。在这里，我们使用一个受双鞭毛游动启发的简单微生物模型，该模型由一个球形细胞体和两个代表两条鞭毛运动的小球形珠子组成。通过强化学习，我们为不同的微生物形态识别出准优化的游泳冲程。对于所有研究的情况，识别出的冲程导致两条鞭毛珠子的对称和准同步摆动。有趣的是，冲程平均流场是推进器类型的，并且观察到的游泳步态优于以前使用的依赖于预定义圆形鞭毛珠子运动的双鞭毛微生物模型。
