The DOI matches its Crossref record; 493 of the 493 references it cites were found in a registry or an index.
CO2 Capture and Separations Using MOFs: Computational and Experimental Studies
Abstract
This Review focuses on research oriented toward elucidation of the various aspects that determine adsorption of CO 2 in metal–organic frameworks and its separation from gas mixtures found in industrial processes. It includes theoretical, experimental, and combined approaches able to characterize the materials, investigate the adsorption/desorption/reaction properties of the adsorbates inside such environments, screen and design new materials, and analyze additional factors such as material regenerability, stability, effects of impurities, and cost among several factors that influence the effectiveness of the separations. CO 2 adsorption, separations, and membranes are reviewed followed by an analysis of the effects of stability, impurities, and process operation conditions on practical applications.
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Cites
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Cited by
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Metadata
- Authors
- Yu, J., Xie, L.-H., Li, J.-R., Ma, Y., Seminario, J. M., & Balbuena, P. B.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-04-10
- Volume
- 117
- Issue
- 14
- Pages
- 9674-9754
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2607412255
- Cited by
- 1,047
- References
- 493
- FWCI
- 18.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yu, J., Xie, L.-H., Li, J.-R., Ma, Y., Seminario, J. M., & Balbuena, P. B. (2017). CO2 Capture and Separations Using MOFs: Computational and Experimental Studies. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.6b00626
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
