High-throughput and machine learning approaches for the discovery of metal organic frameworks
Metal-organic frameworks (MOFs) are promising nanoporous materials with diverse applications. Traditional material discovery based on intensive manual experiments has certain limitations on efficiency and effectiveness when faced with nearly infinite material space. The current situation offers an o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-06-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/5.0147650 |