- Alternative title
-
Vorhersage von Materialverformung und Versagen durch maschinelles Lernen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Font-Clos, F., Zanchi, M., Hiemer, S., Bonfanti, S., Guerra, R., Zaiser, M., \& Zapperi, S. (2022). Predicting the failure of two-dimensional silica glasses. Nature communications, 13(1), 2820. Hiemer, S., \& Zapperi, S. (2021). From mechanism-based to data-driven approaches in materials science. Materials Theory, 5(1), 1-9. Hiemer, S., Fan, H., \& Zaiser, M. (2023). Relating plasticity to dislocation properties by data analysis: scaling vs. machine learning approaches. Materials Theory, 7(1), 1. Hiemer, S., Moretti, P., Zapperi, S., \& Zaiser, M. (2022). Predicting creep failure by machine learning-which features matter?. Forces in Mechanics, 9, 100141.
Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Dissertation, 2023
- Keyword
-
Mathematisches Modell
Bruchverhalten
- Event
-
Veröffentlichung
- (where)
-
Erlangen
- (who)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (when)
-
2023
- Creator
- Contributor
-
Zaiser, Michael
Zaiser, Michael
Laurson, Lasse
- DOI
-
10.25593/open-fau-18
- URN
-
urn:nbn:de:101:1-2023122110024133097110
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:49 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hiemer, Stefan
- Zaiser, Michael
- Laurson, Lasse
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Time of origin
- 2023
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