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Sorbent Machine Learning App
URL: https://sorbent-ml.hymarc.org/
This web application presents computational models for predicting the usable hydrogen capacity of metal-organic frameworks (MOFs). The models are based on machine learning (ML) algorithms that have been trained on computed H2 uptake data (i.e., isotherms from Grand Canonical Monte Carlo calculations) on a diverse set of MOFs.
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Resource Metadata
| metadata modified | 4 years ago |
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| Last updated | December 9, 2020 |
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| Created | December 9, 2020 |
| Format | unknown |
| License | No License Provided |
