Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning
| Autor: | Hong Liang, Jianwen Jiang, Yaling Yan, Zhiwei Qiao, Tang Yaxing |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Materials science
business.industry Xylene Separation (aeronautics) 02 engineering and technology Chemical industry Advanced materials 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials chemistry.chemical_compound General Energy chemistry Scientific method Metal-organic framework Physical and Theoretical Chemistry 0210 nano-technology business Process engineering |
| Zdroj: | The Journal of Physical Chemistry C. 125:7839-7848 |
| ISSN: | 1932-7455 1932-7447 |
| DOI: | 10.1021/acs.jpcc.0c10773 |
| Popis: | Separation of xylene isomers is an important process in the chemical industry and there has been considerable interest in developing advanced materials for xylene separation. In this study, we syne... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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