Danick Gallant Predicts Corrosion with Simulation and Machine Learning

As the automotive manufacturing industry continues to use high-strength steels, carbon-fiber-reinforced polymers, and magnesium, organizations are becoming more interested in predicting the corrosion of these materials in service environments. Machine learning and simulation applications can be used to help predict corrosion. Danick Gallant of the National Research Council of Canada discusses using these tools to predict corrosion in his keynote talk from the COMSOL Conference 2019 Boston.

• #education
• #comsol_multiphysics
• #comsol
• #simulation_software
• #acdc_electromagnetics
• #electrical
• #chemical
• #corrosion_processes