Record link: 
http://hdl.handle.net/20.500.12708/138995
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Title: 
Microswimmers learning chemotaxis with genetic algorithms
en
Citation: 
Hartl, B., Hübl, M., Kahl, G., & Zöttl, A. (2021). Microswimmers learning chemotaxis with genetic algorithms. Proceedings of the National Academy of Sciences of the United States of America, 118(19), Article e2019683118. https://doi.org/10.1073/pnas.2019683118
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Publisher DOI: 
10.1073/pnas.2019683118
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Hartl, Benedikt 
Hübl, Maximilian 
Kahl, Gerhard 
Zöttl, Andreas 
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Organisational Unit: 
E136 - Institut für Theoretische Physik 
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Journal: 
Proceedings of the National Academy of Sciences of the United States of America 
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ISSN: 
0027-8424
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Date (published): 
May-2021
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Number of Pages: 
7
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Publisher: 
National Academy of Sciences
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Peer reviewed: 
Yes
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Keywords: 
Multidisciplinary
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Research Areas: 
Modelling and Simulation: 10%
Biological and Bioactive Materials: 90%
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Science Branch: 
Physik, Astronomie
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