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Data-driven structural angle mining elucidates hidden design rules for hydrogen evolution single-atom
Bingqing Ge1,2,3, Yang Chen4, Yidi Wu1,2
1State Key Laboratory of Chemistry for NBC Hazards Protection, College of Chemistry, Fuzhou University Fuzhou 350116 China slin@fzu.edu.cn.
New angular descriptors predict catalyst performance in modified transition metal dichalcogenides (MX2). This data-driven approach identifies optimal configurations for hydrogen evolution reactions (HER), accelerating materials discovery.
Area of Science:
- Materials Science
- Catalysis
- Surface Science
Background:
- Structural distortions in modified 2D transition metal dichalcogenides (MX2) impact electrocatalytic activity.
- Quantitative structure-property relationships for MX2 electrocatalysts are underdeveloped.
Purpose of the Study:
- To develop a data-driven framework for predicting electrocatalytic activity in single-atom doped MX2 (TM1@MX2).
- To establish geometrically defined angular descriptors for rational catalyst design.
Main Methods:
- Performed data-driven structural angle mining on hundreds of thousands of TM1@MX2 configurations.
- Developed geometrically defined angular descriptors to correlate structure with hydrogen evolution reaction (HER) activity.
- Utilized computational analysis to identify key angular signatures for high-performance catalysts.
Main Results:
- Angular descriptors accurately predict HER electrocatalytic activity.
- Long-range angular parameters are stronger predictors than local coordination.
- Identified specific angular signatures for optimal Ir1@MoS2 (S-vacancy) and V1@MoS2 (Mo-vacancy) catalysts.
- Experimental verification confirmed predictions, with synthesized Ir1@MoS2 matching Pt/C performance and V1@MoS2 outperforming pristine MoS2.
Conclusions:
- The angular descriptor framework provides a geometrically intuitive and electronically grounded strategy for designing and discovering advanced energy materials.
- This approach accelerates the identification of high-performance electrocatalysts for HER.
- Further experimental validation is needed for oxygen evolution reaction (OER) activity predictions.
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