Verfügbarkeit: Predicting Materials Deformation and Failure by Machine Learning

Predicting Materials Deformation and Failure by Machine Learning:

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Bibliographische Detailangaben
Beteilige Person:	Hiemer, Stefan (VerfasserIn)
Format:	Hochschulschrift/Dissertation Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Erlangen ; Nürnberg 2023
Schlagwörter:	Mathematisches Modell Bruchverhalten 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 Hochschulschrift
Links:	https://open.fau.de/handle/openfau/30063 https://doi.org/10.25593/open-fau-18 https://d-nb.info/1314277073/34
Beschreibung:	Enthält 4 Sonderdrucke
Umfang:	1 Online-Ressource (145 Seiten) Illustrationen, Diagramme
DOI:	10.25593/open-fau-18

Internformat

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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_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

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