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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.
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Resource Metadata
metadata modified | prieš 5 metus |
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Paskutinį kartą atnaujinta | 2020 m. birželio 30 d. |
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Sukurtas | 2020 m. birželio 30 d. |
Formatas | nežinomas |
Licencija | No License Provided |