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Hydride Design via Machine Learning Paper
URL: https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.9b02971
A link to the publication describing how these data are used in an interpretable machine learning algorithm to accelerate discovery of optimal hydride design.
Oraindik ez dira baliabide honentzako bistak existitzen
Resource Metadata
| metadata modified | Duela 5 urte |
|---|
| Azken eguneratzea | 2020(e)ko ekainaren 30(a) |
|---|---|
| Sortuta | 2020(e)ko ekainaren 30(a) |
| Formatua | ezezaguna |
| Lizentzia | Ez da lizentzia batez hornitu |
