Anubhav Jain and his colleagues fed abstracts from 3.3 million materials science journal articles to the algorithm, training it to divine substances with useful properties.
The lab highlighted the research each will do this summer.
Carnegie Mellon University's Zachary Ulissi will use Perlmutter to search for new renewable energy materials as part of the NERSC Early Science Applications Program.
Dan Martin focuses on the complex interactions governing ice in Antarctica.
The honor recognizes their outstanding research and service to the scientific community.
The current class of early-career honorees applies machine-learning tools to science problems.