Prediction of Xe/Kr Separation in Metal-Organic Frameworks by a Precursor-Based Neural Network Synergistic with a Polarizable Adsorbate Model

Adsorption and separation of Xe/Kr are significant for making high-density nuclear energy environmentally friendly and for meeting the requirements of the gas industry. Enhancing the accuracy of the adsorbate model for describing the adsorption behaviors of Xe and Kr in MOFs and the efficiency of th...

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Detalles Bibliográficos
Autores principales: Liu, Zewei, Xia, Qibin, Huang, Bichun, Yi, Hao, Yan, Jian, Chen, Xin, Xu, Feng, Xi, Hongxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648455/
https://www.ncbi.nlm.nih.gov/pubmed/37959783
http://dx.doi.org/10.3390/molecules28217367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648455/
https://www.ncbi.nlm.nih.gov/pubmed/37959783
http://dx.doi.org/10.3390/molecules28217367

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