Machine learning insights into predicting biogas separation in metal-organic frameworks
Abstract Breakthroughs in efficient use of biogas fuel depend on successful separation of carbon dioxide/methane streams and identification of appropriate separation materials. In this work, machine learning models are trained to predict biogas separation properties of metal-organic frameworks (MOFs...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-05-01
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| Series: | Communications Chemistry |
| Online Access: | https://doi.org/10.1038/s42004-024-01166-7 |
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