As a postdoc in the DMC Lab at the University of Minnesota and an incoming assistant professor at UCLA, I am focused on developing computational techniques to advance our understanding of materials synthesis. This involves the use of density functional theory, Monte Carlo simulations, and machine learning to study the range of thermodynamic and kinetic factors that influence reaction outcomes.
During my PhD, spent with the Ceder group at UC Berkeley, I worked on the automation of materials synthesis through platforms such as the A-Lab. An overview of this area can be found in our review article and additional details of my work can be found here.
For more personal information, please refer to my CV, or contact me at nszymans@umn.edu.