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

Artificial intelligence and machine learning can greatly enhance materials property prediction and discovery. Here the authors propose cross-property transfer learning to build accurate models for dozens of properties with limited data availability.

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Autores principales: Vishu Gupta, Kamal Choudhary, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1fc51a9d7df942cc92802f6e2ff78dbe
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