W. R. Peltier

University of Toronto
Project Title: Using machine learning methods for developing turbulence models necessary for the optimal design of fluid-structure interaction systems at high Reynolds numbers
Industry Partner: Autodesk
Platforms: Agile Computing, Blue Gene/Q

Advanced Manufacturing

Advanced manufacturing techniques and new materials are unleashing a new era for engineers to create new breeds of high-performance designs. Fully exploiting these opportunities is very complex for human designers alone, as it is often difficult for our minds to imagine the intricate shapes and materials that embody the best design for a given purpose, such as the best possible shape and material for a wind turbine blade.