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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Detalles Bibliográficos
Autores principales: Jha, Dipendra, Gupta, Vishu, Ward, Logan, Yang, Zijiang, Wolverton, Christopher, Foster, Ian, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895970/
https://www.ncbi.nlm.nih.gov/pubmed/33608599
http://dx.doi.org/10.1038/s41598-021-83193-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895970/
https://www.ncbi.nlm.nih.gov/pubmed/33608599
http://dx.doi.org/10.1038/s41598-021-83193-1

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