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Design and Screening of Metal–Organic Frameworks for Ethane/Ethylene Separation
[Image: see text] Separation of ethane and ethylene is considered to be industrially important for various chemical processes, but their similarities make the process expensive. In this study, we integrated computational screening with machine learning to find optimal metal–organic frameworks (MOFs)...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893246/ https://www.ncbi.nlm.nih.gov/pubmed/36743033 http://dx.doi.org/10.1021/acsomega.2c07517 |