Year: 2025
Type: article
Abstract: Understanding and optimizing the design of helical microswimmers is crucial for advancing their application in various fields. This study integrates free-form deformation with Bayesian optimization to discover optimal shapes that optimize microswimmer speed and efficiency. Applied to both monoflagellated and biflagellated swimmers, the method revealed novel optimal designs, expanding the known diversity of pushers and pullers. These findings provide insights into bio-inspired locomotion and microscale propulsion
Source: Physical Review Fluids
Institutions: Université Côte d'Azur, Centre Inria d'Université Côte d'Azur, CALISTO: Approches stochastiques pour les écoulements complexes et l'environnement, Centre National de la Recherche Scientifique, Laboratoire Jean-Alexandre Dieudonné, ACUMES: Algorithmes et Biologie Structurale, Institut de Recherche Mathématique Avancée, Université de Strasbourg
Language: English
Topic: Micro and Nano Robotics
Subfield: Condensed Matter Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4402659216