Ensemble atomic sites for acidic oxygen evolution: mechanisms, atomic engineering, and AI-assisted screening

Area of Science:

• Catalysis
• Materials Science
• Electrochemistry

Background:

• Atomically dispersed metal catalysts (ADMCs) show promise for the oxygen evolution reaction (OER).
• Challenges in OER include slow kinetics, limited stability, and reliance on scarce noble metals.
• Multi-metallic ensemble atomic sites (EAS) offer a new platform for OER catalyst design.

Purpose of the Study:

• To review recent mechanistic understanding of EAS in acidic OER (AOER).
• To highlight advances in EAS material synthesis strategies.
• To explore the role of AI/ML in accelerating the discovery of optimal EAS catalysts.

Main Methods:

• Review of recent literature on EAS in AOER.
• Analysis of material synthesis strategies for EAS.
• Exploration of AI/ML applications in catalyst discovery.

Main Results:

• EAS provide cooperative interactions that modulate intermediate binding energies and enhance structural resilience.
• Distinct atomic configurations in EAS tailor OER pathway energetics.
• AI/ML are accelerating the discovery of optimal EAS for AOER.

Conclusions:

• EAS represent a promising avenue for next-generation AOER catalysts.
• Integration of advanced characterization and data-driven modeling is crucial for rational catalyst design.
• Future research should focus on understanding and optimizing EAS for efficient and stable AOER.