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 in the College of Engineering Read more