Professor Conrard G. Tetsassi Feugmo joined the department of Chemistry in 2022. His research involves machine learning and multiscale modeling to provide insight into the use and efficiency of advanced energy materials. He is also a member of the Institute for Nanotechnology and the Waterloo Data and Artificial Intelligence Institute.
Feugmo holds a master’s degree in nanotechnologies from the Louvain School of Engineering and a PhD in computational chemistry from the University of Namur, both in Belgium. Before coming to Waterloo, he was a Research Officer at the National Research Council of Canada (NRC), where he integrated artificial intelligence, high-performance computing, and physics-based modelling to more quickly identify and develop materials for sustainable energy technologies like hydrogen production and batteries.
His current research program focuses on understanding and optimizing high-temperature electrochemical and thermochemical systems, such as molten salts, solid oxide electrolysis cells, solid-state batteries, and materials that can withstand extreme environments. His group is especially interested in high-entropy alloys (HEAs), a new type of material that is mechanically strong, thermally stable, and corrosion resistant, and could be useful in energy and nuclear technologies.
A key component of Feugmo’s work is the integration of physics-informed AI models that can help explain and predict material lifetime and energy efficiency. Over the next decade, Feugmo aims to establish these AI-augmented, physics-grounded models and develop computational tools that will support technologies critical to a sustainable future.