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Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscape
We present a complete set of chemo-structural descriptors to significantly extend the applicability of machine-learning (ML) in material screening and mapping energy landscape for multicomponent systems. These new descriptors allow differentiating between structural prototypes, which is not possible...
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| Veröffentlicht in: | Phys Rev Mater |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7067064/ https://ncbi.nlm.nih.gov/pubmed/32166213 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1103/physrevmaterials.2.083801 |
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