Conrard Giresse Tetsassi Feugmo

Assistant Professor | Department of Chemistry, Faculty of Science

Dr. Conrard G. Tetsassi Feugmo, an assistant professor in the Chemistry department at the University of Waterloo, employs various computational techniques, including Density Functional Theory (DFT), Molecular Dynamics (MD), and Phase Field Crystal (PFC), along with machine learning (ML) to design materials for energy storage and conversion technologies, such as hydrogen technology and High Entropy Alloys for aerospace applications. He obtained a B.Sc. and M.Sc. in Chemistry from the University of Yaoundé I in Cameroon, an M.Sc. in Nanotechnologies from the Louvain School of Engineering in Belgium, and a Ph.D. in Computational Chemistry from the University of Namur in Belgium. Additionally, he served as a Research Officer at the NRC's Advanced Materials Research Facility in Mississauga. 

Graduate Supervision:  

As a supervisor to graduate students pursuing their master's and doctoral degrees in Chemistry, Dr. Conrard G. Tetsassi Feugmo oversees various research projects involving computational modeling, artificial intelligence, and industrial collaborations. Dr. Feugmo's research group focuses on developing advanced algorithms for constrained multi-objective optimization, models for ionic conduction in non-crystalline materials, and materials for hydrogen technology to improve the performance of these materials in energy storage and conversion applications. The research projects are also aimed at experimental validation.  

Selected Publications:

• Conrard Giresse Tetsassi Feugmo Kevin Ryczko Abu Anand Chandra Veer Singh and Isaac Tamblyn. (2021). Neural evolution structure generation: High entropy alloys. The Journal of Chemical Physics. 155(4): 044102. 

• Chen, Zhi-Wen; Gariepy, Zachary; Chen, LiXin; Yao, Xue; Anand, Abu; Liu, Szu-Jia; Tetsassi Feugmo,Conrard Giresse; Tamblyn, Isaac; Singh, Chandra Veer. (2022). Machine learning-driven high entropy alloy catalyst discovery to circumvent the scaling relation for CO2 reduction reaction. ACS Catalysis. 12: 14864–14871. 

• Conrard Giresse Tetsassi Feugmo Vincent Liégeois, Yves Caudano, Francesca Cecchet Benoît Champagne. (2019). Probing alkylsilane molecular structure on amorphous silica surfaces by sum frequency generation vibrational spectroscopy: First-principles calculations.The Journal of chemical physics. 150(7): 074703.