Large language model guides discovery of catalysts for clean energy tech | EurekAlert!

Researchers at Tohoku University developed ChatHEA, a domain-specific AI assistant that combines large language models with high-throughput experimentation to accelerate discovery of high-entropy alloy catalysts for fuel cells. The framework identified FeCoCuPtIr as a superior oxygen-reduction catalyst that exceeds U.S. DOE 2025 activity targets and outperforms commercial platinum catalysts.

This Wire brief sits within Fusion42's coverage of Climate Tech.