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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.

SUBMITTER: Xue X 

PROVIDER: S-EPMC9667949 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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

Xue Xiangdong X   Gao Hongyi H   Liu Jiangtao J   Yang Ming M   Feng Shihao S   Liu Zhimeng Z   Lin Jing J   Kasemchainan Jitti J   Wang Linmeng L   Jia Qilu Q   Wang Ge G  

Chemical science 20221018 44


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  ...[more]

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