Sim2Mat Lightning Talk - Maria Chan

Maria Chan is a scientist with the Center for Nanoscale Materials at Argonne National Laboratory. She studies nanomaterials and renewable energy materials, including solar cells and batteries and other energy storage, as well as photo- and electro-catalysts, thermal transport, and thermoelectrics. Particular focus is on using machine learning for efficient computational approaches and for interfacing computational models with materials characterization (x-ray, electron, and scanning probe). She is a senior fellow at the Northwestern Argonne Institute for Science and Engineering, and a fellow of the University of Chicago Consortium for Advanced Science and Engineering. She is also an associate editor at the ACS Journal Chemistry of Materials, a member of the Condensed Matter and Materials Research Committee of the National Academies of Sciences, Engineering, and Medicine, and serves on the advisory boards for the journal APL-Machine Learning, Duke’s aiM-NRT AI training project, and CEDARS EFRC.