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Enabling deeper learning on big data for materials informatics applications

The application of machine learning (ML) techniques in materials science has attracted significant attention in recent years, due to their impressive ability to efficiently extract data-driven linkages from various input materials representations to their output properties. While the application of...

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Podrobná bibliografie
Vydáno v:Sci Rep
Hlavní autoři: Jha, Dipendra, Gupta, Vishu, Ward, Logan, Yang, Zijiang, Wolverton, Christopher, Foster, Ian, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7895970/
https://ncbi.nlm.nih.gov/pubmed/33608599
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83193-1
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