Researchers use AI to discover new catalyst beyond material boundaries
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 15:16 ET (3-Nov-2026 20:16 GMT/UTC)
Discovering new catalysts is one of the central challenges in developing clean-energy technologies such as green hydrogen production. Yet catalyst discovery has traditionally remained confined within individual material families, limiting researchers’ ability to transfer knowledge across chemically distinct systems.
A research team led by Director HYEON Taeghwan of the Center for Nanoparticle Research within the Institute for Basic Science (IBS) has developed an artificial intelligence (AI) framework that discovers catalysts in a fundamentally new way — by combining knowledge across different catalyst families.Researchers from The University of Osaka and collaborators proposed the Insect Synergy Circuit (ISC), a new concept for bio-hybrid control that uses AI to interpret internal biological signals from insects. By integrating heartbeat, neural signal features, and body movement data, the team developed a cyborg cockroach system that can estimate environment-associated internal states and guide movement while reducing unnecessary stimulation.