Data-Driven Structural Angle Mining Elucidates Hidden Design Rules for Hydrogen Evolution Single-Atom Electrocatalysts

Key Points

• This research aims to identify the structural design rules influencing the hydrogen evolution activity of single-atom electrocatalysts using data-driven methods.
• Utilized data-driven structural angle mining techniques to investigate modified two-dimensional transition metal dichalcogenides
• Analyzed structural distortions and their impact on electrocatalytic performance
• Developed a predictive model for structure-property relationships
• Characterized specific structural distortions that significantly enhance electrocatalytic activity
• Identified key angle relationships that correlate with increased hydrogen evolution efficiency
• Provided empirical data supporting the predictive model for improved electrocatalyst design