The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Highly Selective and Permeable Porous Organic Framework Membrane for CO2 Capture
Abstract
POF integrated membrane: CO2-philic porous organic framework (POF) membranes are facilely synthesized by integrating SNW-1 nanosized particles with available amino groups and PSF matrix. As-prepared continuous SNW-1/PSF membrane is demonstrated to exhibit high CO2 selectivity as a molecular strainer. High performance (high separation factor and enhanced permeability) holds great promise of SNW-1/PSF membrane in CO2 capture and separation.
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Citations
Cites
CO2 capture by solid adsorbents and their applications: current status and new trends
Wang, Q., Luo, J., Zhong, Z., & Borgna, A. (2011) · Energy Environ. Sci. · doi:10.1039/c0ee00064g · Cited by 1,611
Improved SAPO‐34 Membranes for CO2/CH4 Separations
Li, S., Falconer, J. L., & Noble, R. D. (2006) · Advanced Materials · doi:10.1002/adma.200601147 · Cited by 283
Cited by
Cuéllar-Franca, R. M., & Azapagic, A. (2015) · Journal of CO2 Utilization · doi:10.1016/j.jcou.2014.12.001 · Cited by 1,571
Porous Organic Polymers for Post‐Combustion Carbon Capture
Zou, L., Sun, Y., Che, S., Yang, X., Wang, X., Bosch, M., Wang, Q., Li, H., Smith, M., Yuan, S., et al. (2017) · Advanced Materials · doi:10.1002/adma.201700229 · Cited by 432
Metadata
- Authors
- Gao, X., Zou, X., Ma, H., Meng, S., & Zhu, G.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2014-03-20
- Volume
- 26
- Issue
- 22
- Pages
- 3644-3648
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2001833984
- Cited by
- 174
- References
- 2
- FWCI
- 17.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gao, X., Zou, X., Ma, H., Meng, S., & Zhu, G. (2014). Highly Selective and Permeable Porous Organic Framework Membrane for CO2 Capture. Advanced Materials. https://doi.org/10.1002/adma.201400020
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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.
