AI technique promotes green hydrogen production using more abundant chemical elements

A NIMS research team has developed an AI technique capable of expediting the identification of materials with desirable characteristics. Using this technique, the team was able to discover high-performance water electrolyzer electrode materials free of platinum-group elements—substances previously thought to be indispensable in water electrolysis. These materials may be used to reduce the cost of large-scale production of green hydrogen—a next-generation energy source. The research was published in ACS Central Science.