We develop computational methods to enable predictive materials synthesis, thus accelerating their design beyond screening. Using a range of tools - from databases to machine learning - we propose solutions in energy, sustainability, and AI. Our group is based in the Department of Materials Science and Engineering at UCLA. Learn more about our research at our website.
Some of our current projects include:
- mkite: a platform for high-throughput materials simulations in distributed computing.
