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Updated: Aug 11, 2026
06:53
Magnetometric Characterization of Intermediates in the Solid-State Electrochemistry of Redox-Active Metal-Organic Frameworks
Published on: June 9, 2023
Data-driven strategies for decoding structure-reactivity relationships in porous electrocatalysis
Hao Wang1, Zhiming Feng1, Jie Yang2
1Department of Chemical Engineering, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Chemical Communications (Cambridge, England)
|August 10, 2026
Summary
This review explores data-driven strategies for understanding porous electrocatalysts like MOFs and zeolites. It highlights methods to link material structure to catalytic performance for sustainable chemical reactions.
Area of Science:
- Materials Science
- Catalysis
- Electrochemistry
Background:
- Porous materials such as metal-organic frameworks (MOFs), covalent organic frameworks (COFs), zeolites, and porous carbons offer unique microenvironments for catalysis.
- Electrocatalysis introduces complexities like potential-dependent adsorption, electric double-layer effects, and mass transport limitations within pores.
Purpose of the Study:
- To review recent data-driven strategies for analyzing porous electrocatalysts.
- To connect material structure with catalytic activity, selectivity, and stability under electrochemical conditions.
Main Methods:
- Chemically informed, descriptor-based models linking local structure to performance.
- Graph-based representations encoding connectivity and topology for reactivity-relevant motifs.
- Multimodal and transferable learning integrating structural, spectroscopic, and energetic data.
Main Results:
- Discussion of representative examples across MOFs/COFs, zeolites, and porous carbons.
- Emphasis on studies combining computational modeling with mechanistic insights and experiments.
- Identification of key challenges including data scarcity and dynamic restructuring under bias.
Conclusions:
- Priorities for designing reaction-relevant descriptors are outlined.
- The need for robust model-experiment feedback loops to accelerate development.
- Focus on advancing porous electrocatalysts for sustainable chemical transformations.
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