Researchers at the University of Toronto have developed an innovative artificial intelligence (AI) program to accelerate the discovery of efficient catalysts for hydrogen production. The team used simulations to test over 36,000 metal oxide combinations, ultimately identifying a top candidate that outperformed traditional methods.
The winning combination, featuring ruthenium, chromium, and titanium, demonstrated a 20-fold improvement in stability and durability compared to the team’s benchmark. This breakthrough catalyst has the potential to significantly reduce the time and cost associated with finding effective solutions for green hydrogen production.
According to Jehad Abed, a researcher at UOT, the AI program was able to simulate results that would take years to test manually, accomplishing this task in just days. The successful application of AI in catalysis is expected to pave the way for faster and more efficient discovery of improved catalysts, ultimately driving down costs and increasing the adoption of green hydrogen production methods.
Source: https://www.h2-view.com/story/university-of-toronto-uses-ai-to-discover-new-electrolyser-catalyst/2114334.article/