Research Bio

Kristin Persson is a materials scientist whose research focuses on data-driven materials design and understanding. She develops methods that incorporate machine-learning, experimental information and computational databases to predict material properties, understand and predict synthesis and characterization to accelerate innovation. Persson has pioneered the data-driven design of materials for batteries, photovoltaics, and catalysis, and more recently has advanced fundamental understanding of interfacial solid-liquid and solid-solid reactivity using machine-learning, reaction networks and kinetics in model amorphous interfaces.  Her research has enabled the Materials Project, a global open-access resource for materials data, analysis and machine learning. 

She is the Daniel M. Tellep Distinguished Professor of Materials Science and Engineering at UC Berkeley. She is a member of the US National Academy of Engineering, and the Royal Swedish Academy of Science, class of Chemistry. She mentors students in computational materials science, chemistry and sustainable energy.

Research Expertise and Interest

lithium-ion batteries, multivalent batteries, organic electrolytes, polar materials, datamining of materials properties for energy applications