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Hysteretic Adsorption and Desorption of Hydrogen by Nanoporous Metal-Organic Frameworks
Abstract
Adsorption and desorption of hydrogen from nanoporous materials, such as activated carbon, is usually fully reversible. We have prepared nanoporous metal-organic framework materials with flexible linkers in which the pore openings, as characterized in the static structures, appear to be too small to allow H 2 to pass. We observe hysteresis in their adsorption and desorption kinetics above the supercritical temperature of H 2 that reflects the dynamical opening of the “windows” between pores. This behavior would allow H 2 to be adsorbed at high pressures but stored at lower pressures.
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Sing, K. S. W. (1985) · Pure and Applied Chemistry · doi:10.1351/pac198557040603 · Cited by 24,485
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Haque, E., Khan, N. A., Park, J. H., & Jhung, S. H. (2010) · Chemistry – A European Journal · doi:10.1002/chem.200902382 · Cited by 369
Thermodynamics of Guest-Induced Structural Transitions in Hybrid Organic−Inorganic Frameworks
Coudert, F.-X., Jeffroy, M., Fuchs, A. H., Boutin, A., & Mellot-Draznieks, C. (2008) · Journal of the American Chemical Society · doi:10.1021/ja805129c · Cited by 337
A review on progress made in direct air capture of CO 2
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Metadata
- Authors
- Zhao, X., Xiao, B., Fletcher, A. J., Thomas, K. M., Bradshaw, D., & Rosseinsky, M. J.
- Venue
- Science
- Published
- 2004-11-05
- Volume
- 306
- Issue
- 5698
- Pages
- 1012-1015
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1992545229
- Cited by
- 1,148
- References
- 1
- FWCI
- 45.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, X., Xiao, B., Fletcher, A. J., Thomas, K. M., Bradshaw, D., & Rosseinsky, M. J. (2004). Hysteretic Adsorption and Desorption of Hydrogen by Nanoporous Metal-Organic Frameworks. Science. https://doi.org/10.1126/science.1101982
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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.
