Scholar

Nathan Szymanski

Google Scholar ID: TGMOv3kAAAAJ

Chemical Engineering and Materials Science, University of Minnesota

Materials DesignComputational ModelingLab Automation

Citations & Impact

All-time

Citations

1,574

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Research Experience

Conducting research as an Assistant Professor in the Materials Science and Engineering Department at UCLA, focusing on the development of materials for energy technologies.

Background

As an Assistant Professor in the Materials Science and Engineering Department at UCLA, my group develops materials for energy technologies by integrating computational methods with experimental validation. Our work combines density functional theory, machine learning, and Monte Carlo simulations with feedback from in-situ characterization and robotic synthesis.

Co-authors

22 total