Predicting Materials Deformation and Failure by Machine Learning:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
2023
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| Schlagworte: | |
| Online-Zugang: | kostenfrei kostenfrei kostenfrei |
| Beschreibung: | Enthält 4 Sonderdrucke |
| Beschreibung: | 1 Online-Ressource (145 Seiten) Illustrationen, Diagramme |
| DOI: | 10.25593/open-fau-18 |
Internformat
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Datensatz im Suchindex
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| spelling | Hiemer, Stefan Verfasser (DE-588)1315137216 aut Predicting Materials Deformation and Failure by Machine Learning vorgelegt von Stefan Hiemer Vorhersage von Materialverformung und Versagen durch maschinelles Lernen Erlangen ; Nürnberg 2023 1 Online-Ressource (145 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Enthält 4 Sonderdrucke Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 4\p Mathematisches Modell (DE-588)4114528-8 gnd 5\p Bruchverhalten (DE-588)4121051-7 gnd materials failure disordered materials glasses machine learning fiber bundle model random fuse model molecular dynamics silica glass stochastic creep dislocation machine learning benchmark analytical solution lifetime distribution (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe https://open.fau.de/handle/openfau/30063 Verlag kostenfrei Volltext https://doi.org/10.25593/open-fau-18 Resolving-System kostenfrei Volltext https://d-nb.info/1314277073/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,42798 20231222 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,50322 20231222 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20231221 DE-101 https://d-nb.info/provenance/plan#npi 4\p emagnd 0,11317 20231222 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,06095 20231222 DE-101 https://d-nb.info/provenance/plan#emagnd |
| spellingShingle | Hiemer, Stefan Predicting Materials Deformation and Failure by Machine Learning 4\p Mathematisches Modell (DE-588)4114528-8 gnd 5\p Bruchverhalten (DE-588)4121051-7 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4121051-7 (DE-588)4113937-9 |
| title | Predicting Materials Deformation and Failure by Machine Learning |
| title_alt | Vorhersage von Materialverformung und Versagen durch maschinelles Lernen |
| title_auth | Predicting Materials Deformation and Failure by Machine Learning |
| title_exact_search | Predicting Materials Deformation and Failure by Machine Learning |
| title_exact_search_txtP | Predicting Materials Deformation and Failure by Machine Learning |
| title_full | Predicting Materials Deformation and Failure by Machine Learning vorgelegt von Stefan Hiemer |
| title_fullStr | Predicting Materials Deformation and Failure by Machine Learning vorgelegt von Stefan Hiemer |
| title_full_unstemmed | Predicting Materials Deformation and Failure by Machine Learning vorgelegt von Stefan Hiemer |
| title_short | Predicting Materials Deformation and Failure by Machine Learning |
| title_sort | predicting materials deformation and failure by machine learning |
| topic | 4\p Mathematisches Modell (DE-588)4114528-8 gnd 5\p Bruchverhalten (DE-588)4121051-7 gnd |
| topic_facet | Mathematisches Modell Bruchverhalten Hochschulschrift |
| url | https://open.fau.de/handle/openfau/30063 https://doi.org/10.25593/open-fau-18 https://d-nb.info/1314277073/34 |
| work_keys_str_mv | AT hiemerstefan predictingmaterialsdeformationandfailurebymachinelearning AT hiemerstefan vorhersagevonmaterialverformungundversagendurchmaschinelleslernen |