The Canadian Light Source (CLS) is making significant contributions to sustainable energy research in Canada through a project led by researchers at the University of Toronto. By incorporating artificial intelligence into their work, scientists have been able to expedite breakthroughs in the production of green hydrogen, a crucial component of renewable energy. Traditional methods of generating green hydrogen involve passing electricity through water between metal pieces, leading to the release of hydrogen and oxygen gases. However, the process is energy-intensive and relies on rare and expensive metals. To address this challenge, researchers have been exploring different metal combinations to act as catalysts for a more efficient and affordable reaction. One of the key advancements in this project is the development of an AI program that analyzes thousands of metal oxide combinations to identify the most promising catalyst. Through virtual simulations and lab testing, the researchers pinpointed an alloy of ruthenium, chromium, and titanium that outperformed traditional benchmarks in terms of stability and durability. Using the ultra-bright X-rays at CLS and the Advanced Photon Source in Chicago, the team was able to evaluate the catalyst's performance during reactions and confirm the AI program's predictions. While the results are promising, the researchers emphasize the need for further testing to ensure the alloy's effectiveness under real-world conditions. The potential of AI to revolutionize the search for sustainable energy solutions is evident in this project, with the AI program offering a faster and more efficient route to discovering effective catalysts for green hydrogen production. By combining expertise in artificial intelligence, material science, and renewable energy, the team aims to pave the way for the widespread adoption of green energy technologies.