The University of Tennessee has been awarded a $20 million grant from the National Science Foundation to advance research in automated materials discovery. This project aims to leverage artificial intelligence to accelerate the identification and development of new materials for various industrial applications. By automating the experimental process, researchers hope to significantly reduce the time required to bring novel substances from the lab to the market. The funding will support new infrastructure and interdisciplinary collaboration across the university's engineering and science departments. How much impact will automated discovery tools have on the pace of materials science innovation?
