Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning-Reference-Cited by-同舟云学术

Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning

Published:2021-04-02 Issue:14 Volume:125 Page:7839-7848
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Qiao Zhiwei¹²^ORCID,Yan Yaling²,Tang Yaxing²,Liang Hong²,Jiang Jianwen¹^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore

2. Guangzhou Key Laboratory for New Energy and Green Catalysis, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China

Funder

Agency for Science, Technology and Research

Ministry of Education - Singapore

National University of Singapore

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.0c10773

Reference52 articles.

1. Xylenes

2. Xylenes and Ethylbenzene

3. Seven chemical separations to change the world

4. Separation of Xylene Isomers: A Review of Recent Advances in Materials

5. The Chemistry and Applications of Metal-Organic Frameworks

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