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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)...

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Detalles Bibliográficos
Autores principales: Han, Seunghee, Kim, Jihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
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