28/24 New paper in Elsevier, J. Energy Chem.
⚗️💧🔋 Hydrogen generation and related energy applications heavily rely on the hydrogen evolution reaction (HER), which faces challenges of slow kinetics and high overpotential. Efficient electrocatalysts, particularly single-atom catalysts (SACs) on two-dimensional (2D) materials, are essential. Our new article exploring active sites in single-atom catalysts for hydrogen production was recently published in the Journal of Energy Chemistry. We combined high-throughput DFT screening with few-shot machine learning to predict the hydrogen evolution activity of catalysts supported on 2D Ga₂CoS₄-x. By understanding how sulfur vacancies influence catalytic performance, we identified promising alternatives to traditional platinum catalysts. We also developed an intrinsic descriptor that links the atomic properties of SACs to catalytic performance, enabling precise predictions of HER activity. This approach offers a robust framework for enhancing catalyst design in various reactions.