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Smart Active Particles Learn and Transcend Bacterial Foraging Strategies

dc.contributor.author Nasiri Garabolagh, Mahdi
dc.contributor.author Loran, Edwin
dc.contributor.author Liebchen, Benno
dc.date.accessioned 2023-12-21T16:13:32Z
dc.date.available 2023-12-21T16:13:32Z
dc.date.created 2023-12-21
dc.date.issued 2023-12-21
dc.description Below you will find the codes and the trained model weights of the paper "Smart Active Particles Learn and Transcend Bacterial Foraging Strategies". de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4071
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject Active Matter Physics de_DE
dc.subject Target Search de_DE
dc.subject Machine Learning de_DE
dc.subject.classification 3.22-01
dc.subject.ddc 530
dc.title Smart Active Particles Learn and Transcend Bacterial Foraging Strategies de_DE
dc.type Software de_DE
dcterms.accessRights openAccess
person.identifier.orcid 0000-0001-6538-754X
person.identifier.orcid 0000-0002-1994-1498
person.identifier.orcid 0000-0002-7647-6430
tuda.history.classification Version=2020-2024;310-01 Statistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
tuda.unit TUDa

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