NIMS’ team developed an AI technique that predicts materials with desired traits by adapting to different data sizes . These materials can be made from cheaper and more abundant elements like manganese, iron, nickel, zinc, and silver . This breakthrough led to the discovery of efficient electrode materials for water electrolyzers .