Megalibraries in pole position for autonomous discovery over self-driving labs
Peer-Reviewed Publication
Updates every hour. Last Updated: 19-Jun-2026 09:15 ET (19-Jun-2026 13:15 GMT/UTC)
Megalibrary platform rapidly discovers promising new materials. Platform marks a shift from trial-and-error materials discovery toward intentional design. Team used the system to identify a new piezoelectric material and then deliberately engineered it to operate at a target temperature. Megalibraries outperform emerging ‘self-driving labs’ in terms of speed and throughput to create and screen vast numbers of materials samples simultaneously.
New research led by the University of Utah documents how carbon markets, a pillar of climate policy, fail to accurately account for the risks U.S. forests face from climate change. The team produced maps that show where the risk of loss from fire, insects and drought are most elevated, and therefore best avoided for forest preservation projects.
MIT researchers developed a way to precisely move columns of individual atoms within a material, to produce exotic quantum properties. The approach works in minutes at room temperature, and could aid the development of stable quantum devices.