Computer-Aided Design of Covalent Organic Frameworks for SF<sub>6</sub> Capture: The Combination of High-Throughput Screening and Machine Learning-Reference-Cited by-同舟云学术

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Computer-Aided Design of Covalent Organic Frameworks for SF₆ Capture: The Combination of High-Throughput Screening and Machine Learning

Published:2024-07-02 Issue:27 Volume:128 Page:11355-11366
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Ning Junjie¹,Shen Kun¹,Zhao Rui²^ORCID,Gao Kunqi³,Cai Jingyu¹^ORCID,Hou Linxi¹²⁴^ORCID

Affiliation:

1. Department of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Fuzhou University, Fuzhou 350116, P. R. China

2. Qingyuan Innovation Laboratory, Quanzhou 362801, P. R. China

3. School of Science, College of Art and Science, Shanghai Polytechnic University, No. 2360 Jinhai Road, Shanghai 201209, PR China

4. Fujian Key Laboratory of Advanced Manufacturing Technology of Specialty Chemicals, Fuzhou University, Fuzhou 350116, PR China

Funder

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Qingyuan Innovation Laboratory

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.4c01825

Reference56 articles.

1. Abatement of Sulfur Hexafluoride Emissions from the Semiconductor Manufacturing Process by Atmospheric-Pressure Plasmas

2. Electrochemical Synthesis of Glycosyl Fluorides Using Sulfur(VI) Hexafluoride as the Fluorinating Agent

3. Non-CO2 greenhouse gases and climate change

4. Hiziroglu, H. R.; Bian, X.; Lu, T. Experimental study of synergism in n2 and sf6 gas mixtures. In 2020 IEEE 3rd International Conference on Dielectrics (ICD), 2020; pp 814–817.

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