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1 Ergebnisse
1
Machine learning-enabled parametrically upscaled constituti..:
, In:
Innovative Lightweight and High-Strength Alloys
,
Ghosh, Somnath
- p. 97-139 , 2024
Link:
https://doi.org/10.1016/b978-0-323-99539-9.00004-7
RT T1 <cTitle>Innovative Lightweight and High-Strength Alloys</cTitle>: T1 <Title>Machine learning-enabled parametrically upscaled constitutive models for bridging length scales in Ti and Ni alloys</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_b978-0-323-99539-9.00004-7&Exemplar=1&LAN=DE A1 Ghosh, Somnath PB Elsevier YR 2024 SP 97 OP 139 LK http://dx.doi.org/https://doi.org/10.1016/b978-0-323-99539-9.00004-7 DO https://doi.org/10.1016/b978-0-323-99539-9.00004-7 SF ELIB - SuUB Bremen
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