Ultra-fast Proton Conduction and Photocatalytic Water Splitting in a Pillared Metal-Organic Framework

Jin Chen, Bing An, Yinlin Chen, Xue Han, Qingqing Mei, Meng He, Yongqiang Cheng, Inigo J. Vitorica-Yrezabal, Louise S. Natrajan, Daniel Lee, Anibal J. Ramirez-Cuesta, Sihai Yang, Martin Schröder

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Proton-exchange membrane fuel cells enable the portable utilization of hydrogen (H2) as an energy resource. Current electrolytic materials have limitation, and there is an urgent need to develop new materials showing especially high proton conductivity. Here, we report the ultra-fast proton conduction in a novel metal-organic framework, MFM-808, which adopts an unprecedented topology and a unique structure consisting of two-dimensional layers of {Zr6}-clusters. By replacing the bridging formate with sulfate ligands within {Zr6}-layers, the modified MFM-808-SO4 exhibits an exceptional proton conductivity of 0.21 S·cm-1 at 85 °C and 99% relative humidity. Modeling by molecular dynamics confirms that proton transfer is promoted by an efficient two-dimensional conducting network assembled by sulfate-{Zr6}-layers. MFM-808-SO4 also possesses excellent photocatalytic activity for water splitting to produce H2, paving a new pathway to achieve a renewable hydrogen-energy cycle.

Original languageEnglish
Pages (from-to)19225-19231
Number of pages7
JournalJournal of the American Chemical Society
Volume145
Issue number35
DOIs
StatePublished - Sep 6 2023

Funding

We thank the EPSRC (EP/I011870 and EP/V056409) and the Royal Society and the University of Manchester for funding. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 742401, NANOCHEM). J.C. and M.H. thank China Scholarship Council (CSC) for funding. The computing resources at ORNL were made available through the VirtuES and the ICE-MAN projects, funded by Laboratory Directed Research and Development program and Compute and Data Environment for Science (CADES).

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