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Universal fragment descriptors for predicting properties of inorganic crystals
Although historically materials discovery has been driven by a laborious trial-and-error process, knowledge-driven materials design can now be enabled by the rational combination of Machine Learning methods and materials databases. Here, data from the AFLOW repository for ab initio calculations is c...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Nat Commun |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Publishing Group
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5465371/ https://ncbi.nlm.nih.gov/pubmed/28580961 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms15679 |
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