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Convolutional neural networks for approximating electrical and thermal conductivities of Cu-CNT composites
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 st...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365832/ https://www.ncbi.nlm.nih.gov/pubmed/35948586 http://dx.doi.org/10.1038/s41598-022-16867-z |