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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 | 4 years ago |
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Last updated | June 30, 2020 |
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Created | June 30, 2020 |
Format | unknown |
License | No License Provided |