In Silico Study of Metal–Organic Frameworks for CO2/CO Separation: Molecular Simulations and Machine Learning
Author:
Affiliation:
1. Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
Funder
National Taiwan University
National Science and Technology Council
Ministry of Education, Taiwan
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.3c02452
Reference53 articles.
1. Effective CO2 and CO Separation Using [M2(DOBDC)] (M = Mg, Co, Ni) with Unsaturated Metal Sites and Excavation of Their Adsorption Sites
2. A study of CO2/CO separation by sub-micron b-oriented MFI membranes
3. Highly Selective Carbon Dioxide Sorption in an Organic Molecular Porous Material
4. Efficient CO2/CO separation in a stable microporous hydrogen-bonded organic framework
5. Molecular simulation of copper based metal-organic framework (Cu-MOF) for hydrogen adsorption
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