Publications Details

Accelerating FEM-Based Corrosion Predictions Using Machine Learning

De Zapiain, David M.; Maestas, Demitri; Roop, Matthew; Noell, Philip; Melia, Michael A.; Katona, Ryan M.

Highlights Novel protocol for extracting knowledge from previously performed Finite Element corrosion simulations using machine learning. Obtain accurate predictions for corrosion current 5 orders of magnitude faster than Finite Element simulations. Accurate machine learning based model capable of performing an effective and efficient search over the multi-dimensional input space to identify areas/zones where corrosion is more (or less) noticeable.