Interpretable Machine‐Learning and Big Data Mining to Predict Gas Diffusivity in Metal‐Organic Frameworks

For gas separation and catalysis by metal‐organic frameworks (MOFs), gas diffusion has a substantial impact on the process' overall rate, so it is necessary to determine the molecular diffusion behavior within the MOFs. In this study, an interpretable machine learing (ML) model, light gradient...

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Detalles Bibliográficos
Autores principales: Guo, Shuya, Huang, Xiaoshan, Situ, Yizhen, Huang, Qiuhong, Guan, Kexin, Huang, Jiaxin, Wang, Wei, Bai, Xiangning, Liu, Zili, Wu, Yufang, Qiao, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375163/
https://www.ncbi.nlm.nih.gov/pubmed/37166040
http://dx.doi.org/10.1002/advs.202301461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375163/
https://www.ncbi.nlm.nih.gov/pubmed/37166040
http://dx.doi.org/10.1002/advs.202301461

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