Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

The current predictive modeling techniques applied to Density Functional Theory (DFT) computations have helped accelerate the process of materials discovery by providing significantly faster methods to scan materials candidates, thereby reducing the search space for future DFT computations and exper...

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Detalles Bibliográficos
Autores principales: Jha, Dipendra, Choudhary, Kamal, Tavazza, Francesca, Liao, Wei-keng, Choudhary, Alok, Campbell, Carelyn, Agrawal, Ankit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874674/
https://www.ncbi.nlm.nih.gov/pubmed/31757948
http://dx.doi.org/10.1038/s41467-019-13297-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874674/
https://www.ncbi.nlm.nih.gov/pubmed/31757948
http://dx.doi.org/10.1038/s41467-019-13297-w

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