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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 | 5 tahun yang lalu |
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Terakhir diperbarui | 30 Juni 2020 |
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Dibuat | 30 Juni 2020 |
Format | unknown |
Lisensi | No License Provided |