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Machine learning for glass science and engineering: A review
The design of new glasses is often plagued by poorly efficient Edisonian “trial-and-error” discovery approaches. As an alternative route, the Materials Genome Initiative has largely popularized new approaches relying on artificial intelligence and machine learning for accelerating the discovery and...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2019-12-01
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| Colección: | Journal of Non-Crystalline Solids: X |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2590159119300494 |
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