Dr. Noah Paulson is a Computational Materials Scientist in the Applied Materials Division of Argonne National Laboratory. He investigates the intersection between statistics, machine learning and materials science with applications including batteries, alloy design, and nanoparticle synthesis. Noah joined Argonne as a postdoctoral researcher in 2017.
Noah’s research focuses on the development of statistical and machine learning tools to connect materials processing, structure and properties. Some of his recent research areas include uncertainty quantification in thermodynamic phase diagrams and machine learning tools to predict battery lifetimes and cathode properties.
- Ph.D., Georgia Institute of Technology, Mechanical Engineering, 2017
- B.S., Tufts University, Mechanical Engineering, 2013