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Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics
The use of advanced data analytics and applications of statistical and machine learning approaches (‘AI’) to materials science is experiencing explosive growth recently. In this prospective, we review recent work focusing on generation and application of libraries from both experiment and theoretica...
Guardat en:
| Publicat a: | MRS Commun |
|---|---|
| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7067066/ https://ncbi.nlm.nih.gov/pubmed/32166045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1557/mrc.2019.95 |
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