Issue 44, 2022

Electrostatic potential-derived charge: a universal OER performance descriptor for MOFs

Abstract

Metal–organic frameworks (MOFs) provide opportunities for the design of high-efficiency catalysts attributed to their high compositional and structural tunability. Meanwhile, the huge number of MOFs poses a great challenge to experimental-intensive development of high-performance functional applications. By taking the computationally feasible and structurally representative trigonal prismatic secondary building units (SBUs) of MOFs as the entry point, we introduce a descriptor-based approach for designing high-performance MOFs for the oxygen evolution reaction (OER). The electrostatic potential-derived charge (ESPC) is identified as a robust and universal OER performance descriptor of MOFs, showing a distinct linear relationship with the onset potentials of OER elemental steps. Importantly, we establish an ESPC-based physical pattern of active site–intermediate binding strength, which interprets the rationality of ESPC as an OER performance descriptor. We further reveal that the SBUs with Ni/Cu as active site atoms while Mn/Fe/Co/Ni as spectator atoms have excellent OER activity through the variation pattern of ESPC along with metal composition. The universal correlation between ESPC and OER activity provides a rational rule for designing high-performance MOF-based OER electrocatalysts and can be easily extended to design functional MOFs for a rich variety of catalytic applications.

Graphical abstract: Electrostatic potential-derived charge: a universal OER performance descriptor for MOFs

Supplementary files

Article information

Article type
Edge Article
Submitted
02 Sep 2022
Accepted
17 Oct 2022
First published
18 Oct 2022
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2022,13, 13160-13171

Electrostatic potential-derived charge: a universal OER performance descriptor for MOFs

X. Xue, H. Gao, J. Liu, M. Yang, S. Feng, Z. Liu, J. Lin, J. Kasemchainan, L. Wang, Q. Jia and G. Wang, Chem. Sci., 2022, 13, 13160 DOI: 10.1039/D2SC04898A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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