Maria Chan is a scientist at the Center for Nanoscale Materials at Argonne National Laboratory who studies nanomaterials and renewable energy materials, including solar cells, batteries, thermoelectrics, and catalysts. Her particular focus is on using artificial intelligence/machine learning (AI/ML) for efficient materials property prediction and for interfacing modeling with x-ray, electron, and scanning probe characterization. She also works on using AI for extracting microscopy and spectroscopy data from scientific literature and for microscopy data management.
Chan is a senior fellow at the , and a fellow of the . She is also an associate editor at the , a member of the of the National Academies of Sciences, and serves on the advisory boards for the journal , , and . She was elected a Fellow of the American Physical Society in 2024.