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Cited by 466

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Metal–organic framework with optimally selective xenon adsorption and separation

Open access
Banerjee, Debasis, Simon, Cory M., Plonka, Anna M., Motkuri, Radha K., Liu, Jian, Chen, Xianyin, Smit, Berend, Parise, John B., Haranczyk, Maciej, Thallapally, Praveen K.·2016·Nature Communications
DOI 10.1038/ncomms11831
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Abstract

Nuclear energy is among the most viable alternatives to our current fossil fuel-based energy economy. The mass deployment of nuclear energy as a low-emissions source requires the reprocessing of used nuclear fuel to recover fissile materials and mitigate radioactive waste. A major concern with reprocessing used nuclear fuel is the release of volatile radionuclides such as xenon and krypton that evolve into reprocessing facility off-gas in parts per million concentrations. The existing technology to remove these radioactive noble gases is a costly cryogenic distillation; alternatively, porous materials such as metal–organic frameworks have demonstrated the ability to selectively adsorb xenon and krypton at ambient conditions. Here we carry out a high-throughput computational screening of large databases of metal–organic frameworks and identify SBMOF-1 as the most selective for xenon. We affirm this prediction and report that SBMOF-1 exhibits by far the highest reported xenon adsorption capacity and a remarkable Xe/Kr selectivity under conditions pertinent to nuclear fuel reprocessing.

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Metadata

Authors
Banerjee, D., Simon, C. M., Plonka, A. M., Motkuri, R. K., Liu, J., Chen, X., Smit, B., Parise, J. B., Haranczyk, M., & Thallapally, P. K.
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2016-06-13
Volume
7
Issue
1
Pages
ncomms11831-ncomms11831
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/ncomms11831
OpenAlex
W2430656774
Cited by
466
References
48
FWCI
17.65
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Metal–organic framework with optimally selective xenon adsorption and separation. https://app.cochat.ai/papers/10.1038/ncomms11831
The paper
Banerjee, D., Simon, C. M., Plonka, A. M., Motkuri, R. K., Liu, J., Chen, X., Smit, B., Parise, J. B., Haranczyk, M., & Thallapally, P. K. (2016). Metal–organic framework with optimally selective xenon adsorption and separation. Nature Communications. https://doi.org/10.1038/ncomms11831

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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.