Our group is a dynamic research team focused on advancing the understanding of many-body dynamics and non-equilibrium systems through the lens of Power Functional Theory. We specialize in applying artificial intelligence (AI) techniques to the design, analysis, and exploration of advanced materials across various states, including condensed matter, liquids, solids, and gases. By leveraging cutting-edge AI algorithms and computational tools, we aim to accelerate materials discovery, optimize material properties, and unravel the complex mechanisms that govern material behavior in non-equilibrium conditions.
Positions available at the Feugmo Research Group
If you are interested In Machine Learning applied to Materials Science or you have a strong background mathematics or theoretical or computational physical science (chemistry, physics or materials), please reach out to me.
University of Waterloo postdoctoral funding opportunities 2023
Exciting new opportunities to attract and support postdoctoral scholars to the University of Waterloo.
Feugmo Research Group
Department of Chemistry
University of Waterloo
200 University Ave. West
Waterloo, ON N2L 3G1
Canada
Group Leader
Conrard Giresse Tetsassi Feugmo
Assistant Professor
Office: PHY 2018
Email: cgtetsas@uwaterloo.ca
Phone: 519-888-4567 x33024