Learning physical descriptors for materials science by compressed sensing
The availability of big data in materials science offers new routes for analyzing materials properties and functions and achieving scientific understanding. Finding structure in these data that is not directly visible by standard tools and exploitation of the scientific information requires new and...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IOP Publishing
2017-01-01
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| Collection: | New Journal of Physics |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1088/1367-2630/aa57bf |
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