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.issued | 2023-12-21 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4071 | |
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.rights | Creative Commons Attribution 4.0 | |
dc.rights.uri | 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 | 310-01 Statistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik | de_DE |
dc.subject.ddc | 530 | |
dc.title | Smart Active Particles Learn and Transcend Bacterial Foraging Strategies | de_DE |
dc.type | Software | de_DE |
tud.unit | TUDa | |