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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |