Machine learning strategies for path-planning microswimmers in turbulent flows-Reference-Cited by-同舟云学术

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Machine learning strategies for path-planning microswimmers in turbulent flows

Published:2020-04-27 Issue:4 Volume:101 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Alageshan Jaya Kumar^ORCID,Verma Akhilesh Kumar,Bec Jérémie,Pandit Rahul

Funder

Department of Science and Technology, Ministry of Science and Technology

Council of Scientific and Industrial Research, India

Board of Research in Nuclear Sciences

Indo-French Centre for Applied Mathematics

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.101.043110/fulltext

Reference20 articles.

1. Über das Navigationsproblem bei ruhender oder veränderlicher Windverteilung

2. Machine Learning for Fluid Mechanics

3. Learning to soar in turbulent environments

4. Flow Navigation by Smart Microswimmers via Reinforcement Learning

5. Finding efficient swimming strategies in a three-dimensional chaotic flow by reinforcement learning

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1. Mixing artificial and natural intelligence: from statistical mechanics to AI and back to turbulence;Journal of Physics A: Mathematical and Theoretical;2024-08-02

2. Emergence of odd elasticity in a microswimmer using deep reinforcement learning;Physical Review Research;2024-07-02

3. Machine learning for micro- and nanorobots;Nature Machine Intelligence;2024-06-27

4. Efficient survival strategy for zooplankton in turbulence;Physical Review Research;2024-05-07

5. A Reinforcement Learning Approach to Find Optimal Propulsion Strategy for Microrobots Swimming at Low Reynolds Number;Robotics and Autonomous Systems;2024-05

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