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1 Ergebnisse
1
Generating Input Data for Microstructure Modelling: A Deep ..:
Felix Pütz
;
Manuel Henrich
;
Niklas Fehlemann
..
https://www.mdpi.com/1996-1944/13/19/4236. , 2020
Link:
https://doi.org/10.3390/ma13194236
RT Journal T1
Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:786a3b93350f447984cd58eae6fb79db&Exemplar=1&LAN=DE A1 Felix Pütz A1 Manuel Henrich A1 Niklas Fehlemann A1 Andreas Roth A1 Sebastian Münstermann PB MDPI AG YR 2020 K1 microstructure modelling K1 representative volume elements K1 dp-steel K1 machine learning K1 deep learning K1 wasserstein gan K1 Technology K1 T K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Microscopy K1 QH201-278.5 K1 Descriptive and experimental mechanics K1 QC120-168.85 JF https://www.mdpi.com/1996-1944/13/19/4236 LK http://dx.doi.org/https://doi.org/10.3390/ma13194236 DO https://doi.org/10.3390/ma13194236 SF ELIB - SuUB Bremen
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