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Reduction of Alkenes: Asymmetric Catalytic Hydrogenation02:17

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Catalytic hydrogenation of alkenes is a transition-metal catalyzed reduction of the double bond using molecular hydrogen to give alkanes. The mode of hydrogen addition follows syn stereochemistry.
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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.

Chemical Science
|June 10, 2026
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Summary
This summary is machine-generated.

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.

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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.