Learning Representations of Atomistic Systems with Deep Neural Networks
| dc.contributor.author | Schütt, Kristof | |
| dc.contributor.editor | Hölldobler, Steffen | |
| dc.date.accessioned | 2021-07-01T10:25:30Z | |
| dc.date.available | 2021-07-01T10:25:30Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 978-3-88579-977-1 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36740 | |
| dc.language.iso | de | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Ausgezeichnete Informatikdissertationen 2018 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume D-19 | |
| dc.title | Learning Representations of Atomistic Systems with Deep Neural Networks | de |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 240 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 231 | |
| gi.conference.date | 26.-29.Mai 2020 | |
| gi.conference.location | Schoss Dagstuhl, Deutschland |
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