Metal–organic framework with optimally selective xenon adsorption and separation

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作者
Debasis Banerjee
Cory M. Simon
Anna M. Plonka
Radha K. Motkuri
Jian Liu
Xianyin Chen
Berend Smit
John B. Parise
Maciej Haranczyk
Praveen K. Thallapally
机构
[1] Physical and Computational Science Directorate,Department of Chemical and Biochemical Engineering
[2] Pacific Northwest National Laboratory,Department of Geosciences
[3] University of California,Department of Chemistry
[4] Berkley,Computational Research Division
[5] Stony Brook University,undefined
[6] Energy and Environmental Directorate,undefined
[7] Pacific Northwest National Laboratory,undefined
[8] Stony Brook University,undefined
[9] Institut des Sciences et Ingénierie Chimiques,undefined
[10] Valais,undefined
[11] Ecole Polytechnique Fédérale de Lausanne (EPFL),undefined
[12] Photon Sciences,undefined
[13] Brookhaven National Laboratory,undefined
[14] Lawrence Berkeley National Laboratory,undefined
[15] IMDEA Materials Institute,undefined
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摘要
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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