Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data

Artificial intelligence (AI) and machine learning (ML) have been increasingly used in materials science to build predictive models and accelerate discovery. For selected properties, availability of large databases has also facilitated application of deep learning (DL) and transfer learning (TL). How...

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Detalles Bibliográficos
Autores principales: Gupta, Vishu, Choudhary, Kamal, Tavazza, Francesca, Campbell, Carelyn, 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/PMC8594437/
https://www.ncbi.nlm.nih.gov/pubmed/34782631
http://dx.doi.org/10.1038/s41467-021-26921-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594437/
https://www.ncbi.nlm.nih.gov/pubmed/34782631
http://dx.doi.org/10.1038/s41467-021-26921-5

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