Machine learning-assisted high-throughput screening of MOFs for efficient adsorption and separation of CF4/N2-Reference-Cited by-同舟云学术

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Machine learning-assisted high-throughput screening of MOFs for efficient adsorption and separation of CF4/N2

Published:2024-07 Issue: Volume:461 Page:142634
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Xu Hong,Mguni Liberty L.,Yao Yali^ORCID,Hildebrandt Diane^ORCID,Jewell Linda L.^ORCID,Liu Xinying^ORCID

Funder

University of South Africa

Department of Science and Technology, Ministry of Science and Technology, India

National Research Foundation

Publisher

Elsevier BV

Reference48 articles.

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

2. Machine learning meets with metal organic frameworks for gas storage and separation;Altintas;J. Chem. Inf. Model.,2021

3. Catalytic thermal decomposition of tetrafluoromethane (CF4): a review;Anus;J. Anal. Appl. Pyrolysis,2021

4. An Idiot's Guide to Support Vector Machines (SVMs);Berwick,2003

5. High-throughput screening of metal-organic frameworks for hydrogen storage at cryogenic temperature;Bobbitt;J. Phys. Chem. C,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational prediction of MOFs with the potential to improve the efficiency of industrial CO2 capture;Separation and Purification Technology;2025-02

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