Scientists harness machine learning to lower solar energy cost
A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.The three-year project, “Formulation Engineering of Energy Materials via Multiscale Learning Spirals,” is led by principal investigator Lara Estroff, professor of materials science and engineering at Cornell Engineering