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Updated: Sep 10, 2025

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Bayesian learning-assisted catalyst discovery for efficient iridium utilization in electrochemical water splitting.

Xiangfu Niu1, Yanjun Chen2,3, Mingze Sun2

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This study introduces a data-driven approach to discover efficient oxygen evolution reaction (OER) catalysts using less noble metals. Surface Ir-doped TiO2 shows superior performance, advancing sustainable green hydrogen production.

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Computational Chemistry

Background:

  • Reducing reliance on noble metals like Iridium (Ir) is critical for sustainable oxygen evolution reaction (OER) catalyst development.
  • Bimetallic oxides offer a promising avenue for high-performance OER catalysts with reduced noble metal content.
  • Optimizing bimetallic oxides is complex due to intricate relationships between elemental composition and chemical ordering.

Purpose of the Study:

  • To accelerate the discovery of high-performance, low-Iridium (Ir) bimetallic oxide OER catalysts.
  • To identify optimal catalyst compositions and structures using computational methods.
  • To develop a sustainable, data-driven strategy for electrocatalyst design.

Main Methods:

  • Integration of density functional theory (DFT) calculations and Bayesian learning for accelerated materials discovery.
  • Theoretical prediction of optimal surface compositions and oxygen vacancy configurations.
  • Synthesis of atomically dispersed Iridium on Titanium Dioxide (TiO2) based on theoretical guidance.

Main Results:

  • Identification of surface Iridium-doped Titanium Dioxide (TiO2) as an optimal catalyst.
  • Achieved a 23-fold increase in Iridium mass-specific activity compared to commercial Iridium Dioxide (IrO2).
  • Demonstrated a 115-millivolt reduction in overpotential, indicating enhanced catalytic efficiency.

Conclusions:

  • The study presents a successful data-driven pathway for designing efficient electrocatalysts with minimized noble metal usage.
  • Atomically dispersed Iridium on Titanium Dioxide (TiO2) shows significant potential for scalable green hydrogen production.
  • This approach advances sustainable energy solutions by optimizing catalyst performance and reducing material costs.