Discovering high-entropy electrocatalysts through a batch-alloy targeting approach

Area of Science:

• Materials Science
• Catalysis
• Electrochemistry

Background:

• High-entropy materials offer vast compositional possibilities but designing functional ones is complex.
• Electrocatalytic oxygen evolution reactions (OERs) are critical for energy applications but require efficient and stable catalysts.

Purpose of the Study:

• To introduce an efficient method for exploring the compositional space of high-entropy materials.
• To identify high-performance electrocatalysts for OERs using a novel approach.

Main Methods:

• Developed a "batch-alloy targeting" strategy to create a library of stable alloy phases.
• Used surface restructuring as an indicator to assess OER activity and identify optimal compositions.
• Fused potentially active elements into a rough-guess alloy for rapid screening.

Main Results:

• Successfully identified and developed a nanoscale phase-separated alloy with high OER activity and stability.
• Demonstrated the effectiveness of the batch-alloy targeting approach in accelerating materials discovery.
• Achieved a balance between experimental efficiency and thermodynamic equilibrium in high-entropy material exploration.

Conclusions:

• The batch-alloy targeting method provides an efficient and rapid route for designing high-entropy functional materials.
• This approach significantly simplifies the exploration of complex compositional landscapes for catalysis.
• The developed methodology can be broadly applied to discover novel high-entropy materials for various applications.