Researchers at the University of Toronto have leveraged AI to discover a more efficient catalyst for green hydrogen production, significantly accelerating the process of identifying optimal alloy combinations. Led by PhD student Jehad Abed, the team trained an AI program on a vast database of metal oxide combinations, ultimately identifying an alloy comprising ruthenium, chromium, and titanium that exhibited remarkable stability and durability. The AI's rapid analysis saved the researchers significant time that would have been spent on traditional experimentation. By utilizing ultra-bright X-rays at the Canadian Light Source, the team confirmed the performance of the AI-identified catalyst, demonstrating its potential to enhance the efficacy and affordability of hydrogen production. While further real-world testing is necessary, this development signals progress towards making green hydrogen a more viable and environmentally friendly fuel option. The study's publication in the Journal of the American Chemical Society highlights the groundbreaking potential of AI in accelerating material discovery for sustainable technologies.