A Lab research team’s project was selected in a highly competitive $26 million Department of Energy (DOE) grant program to advance chemical and materials sciences by using data science. The goal of the funding program is to harness cutting-edge research tools for new scientific discoveries fundamental to clean energy solutions.
“This award is a vote of confidence in Los Alamos National Laboratory expertise, as well in the potential of data science to solve critical problems,” said Deputy Laboratory Director John Sarrao. “Modeling the behavior of complex systems is an exciting challenge, and we’re looking forward to seeing the new chemistries and materials systems that are developed from this project.”
Principal investigator Kipton Barros of Theoretical Division will lead a multidisciplinary team of researchers on a three-year, $2.4 million project in partnership with the California Institute of Technology (Caltech) to use data science — including artificial intelligence and machine learning (AI/ML) — to advance the understanding of chemical and materials systems.