Flow Navigation by Smart Microswimmers via Reinforcement Learning-Reference-Cited by-同舟云学术

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Flow Navigation by Smart Microswimmers via Reinforcement Learning

Published:2017-04-12 Issue:15 Volume:118 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Colabrese Simona,Gustavsson Kristian,Celani Antonio,Biferale Luca

Funder

H2020 European Research Council

Abdus Salam International Centre for Theoretical Physics

Knut och Alice Wallenbergs Stiftelse

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.118.158004/fulltext

Reference26 articles.

1. Hydrodynamic Phenomena in Suspensions of Swimming Microorganisms

2. Microbial Behavior in a Heterogeneous World

3. Marine snow, organic solute plumes, and optimal chemosensory behavior of bacteria

4. The hydrodynamics of swimming microorganisms

5. In pursuit of propulsion at the nanoscale

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3. A dual grid-based deep reinforcement learning and computational fluid dynamics method for flow control and its application to nucleate pool boiling;International Journal of Heat and Mass Transfer;2024-08

4. Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions;ChemPhysMater;2024-07

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

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