Welcome to the Feugmo Research Group @UWaterloo

Our research is focused on computation, machine learning and AI methods for materials in areas related to sustainability, gas sensors, aerospace and healthcare. The group mainly engages multiscale simulations, including First principle calculations, Molecular Dynamics, Monte Carlo, and Phase-field model together with machine learning to discover cutting-edge technologies.

Evolutionary neural network approach simulates large-scale high-entropy alloys
Evolutionary neural network approach simulates large-scale high-entropy alloys
High-throughput screening to design advanced materials
High-throughput screening to design advanced materials
Accelerating materials development with Autonomous Simulation Executor
Accelerating materials development with Autonomous Simulation Executor
Tuesday, November 1, 2022

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.