Robust and synthesizable photocatalysts for CO₂ reduction: a data-driven materials discovery

Area of Science:

• Materials Science
• Renewable Energy
• Catalysis

Background:

• Photocatalytic conversion of carbon dioxide (CO2) to chemical fuels is a key technology for renewable energy.
• Existing CO2 reduction electrocatalysts require further materials discovery for industrial-scale viability.
• Developing efficient and selective CO2 reduction photocathodes is crucial for economic feasibility.

Purpose of the Study:

• To conduct the largest-ever search for CO2 photocathode materials.
• To identify novel materials with potential for efficient and selective CO2 reduction.
• To accelerate the development of economically viable industrial-scale CO2 reduction technologies.

Main Methods:

• Employed a computational screening strategy based on first-principles calculations.
• Evaluated 68,860 candidate materials for synthesizability, corrosion resistance, and visible-light absorption.
• Assessed the electronic structure compatibility with fuel synthesis requirements.

Main Results:

• Identified 52 materials that meet all stringent CO2 photocathode requirements.
• Validated findings against existing literature, with 9 materials previously studied for CO2 reduction.
• Discovered 43 novel materials that warrant further investigation for CO2 reduction applications.

Conclusions:

• The computational screening approach effectively identified promising CO2 photocathode materials.
• A significant number of new materials were discovered, expanding the pipeline for CO2 reduction research.
• This work provides a foundation for developing next-generation catalysts for sustainable fuel production.