Convolutional neural networks for approximating electrical and thermal conductivities of Cu-CNT comp...
Convolutional neural networks for approximating electrical and thermal conductivities of Cu-CNT composites
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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This article explores the deep learning approach towards approximating the effective electrical and thermal conductivities of copper (Cu)-carbon nanotube (CNT) composites with CNTs aligned to the field direction. Convolutional neural networks (CNN) are trained to map the two-dimensional images of stochastic Cu-CNT networks to corresponding conducti...
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Convolutional neural networks for approximating electrical and thermal conductivities of Cu-CNT composites
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TN_cdi_doaj_primary_oai_doaj_org_article_d538a78e6e9749e6a44d46472ec92866
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d538a78e6e9749e6a44d46472ec92866
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-16867-z
