Lattice-driven gating in a Cu-based zeolitic imidazolate framework for efficient high-temperature hydrogen isotope separation

Minji Jung, Jaewoo Park, Raeesh Muhammad, Taeung Park, Sung Yeop Jung, Jungwon Yi, Cheolwon Jung, Jacques Ollivier, Anibal J. Ramirez-Cuesta, Jitae T. Park, Jaheon Kim, Margarita Russina, Hyunchul Oh

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

For the separation of hydrogen isotopes (H2/D2), traditional kinetic quantum sieving (KQS) takes advantage of the diffusion barriers created by the flexibility of organic linkers and the breathing frameworks in porous solids. While the phenomena have been observed typically below 77 K, in this study, we present that a copper-based zeolite imidazolate framework (Cu-ZIF-gis) can show KQS above 120 K. Since Cu-ZIF-gis has narrow channels with ca. 2.4 Å in aperture, the small pore size itself acts as a diffusion barrier. This barrier changes with temperatures, leading to pore contraction or expansion through lattice-driven gating (LDG). The H2 adsorption isotherms measured at 40 – 150 K reflect the temperature sensitivity of the pore properties. Quasi-elastic neutron scattering (QENS) experiments indicate a notable difference in the molecular mobility of H2 and D2, even at temperatures exceeding 150 K. Temperature-variation powder X-ray diffraction measurements at 20 – 300 K show a small but gradual increase in the unit cell volume, indicating that LDG gives rise to the KQS at temperatures above 120 K. These findings can be applied to develop sustainable isotope separation technologies using existing LNG cryogenic infrastructure.

Original languageEnglish
Article number2032
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - Dec 2025

Funding

This research was funded by the National Research Foundation of Korea (NRF), Government of Korea (MSI) (2022R1A2C3005978, RS-2023-00281671, NRF-2020R1A2C1004717). The computing resources were made available through the VirtuES and the ICE-MAN projects, funded by the Laboratory Directed Research and Development program and Compute and Data Environment for Science (CADES) at ORNL. We acknowledge the Institut Laue-Langevin (Grenoble, France) for the allocation of beam time.

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