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Compact representation and identification of important regions of metal microstructures using complex-step convolutional autoencoders
ISSN: 0264-1275, 1873-4197Published: Elsevier Ltd 01.11.2022Published in Materials & design (01.11.2022)“…•The trained decoder network of the configured convolutional autoencoder facilitates the secure sharing of microstructural data…”
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