ARTICLE
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doi:10.20944/preprints202006.0056.v1
Subject:
Chemistry And Materials Science,
Metals, Alloys And Metallurgy
Keywords:
Microstructure Modelling; Representative Volume Elements; DP-steel; Machine Learning; Deep Learning; Wasserstein GAN
Online: 5 June 2020 (14:37:20 CEST)