Rapid and accurate identification of effective metal organic frameworks for tetrafluoromethane/nitrogen separation by machine learning-Reference-Cited by-同舟云学术

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Rapid and accurate identification of effective metal organic frameworks for tetrafluoromethane/nitrogen separation by machine learning

Published:2024-09 Issue: Volume:162 Page:105556
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Yang Zequn^ORCID,Chen Boshi,Zu Hongxiao,Zhang Weijin,Ai Zejian,Leng Lijian,Chen Hong^ORCID,Feng Yong,Li Hailong

Funder

Science and Technology Program of Hunan Province

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Atmospheric constituents and in radiative forcing chapter 2;Forster,2007

2. Efficient CF4 adsorption on porous carbon derived from polyaniline;Gao;J Taiwan Inst Chem Eng,2023

3. Adsorption isotherms of tetrafluoromethane and hexafluoroethane on various adsorbents;Ahn;J Chem Eng Data,2006

4. The Kyoto protocol: a review and perspectives;Böhringer;Oxford Rev Econ Policy,2003

5. Handbook of aluminum;Totten,2003

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