We’re excited to announce the publication of our recent work in the journal Additive Manufacturing titled:“Bead Geometry Prediction in Wire Arc Directed Energy Deposition using Physics-Informed Machine Learning and Low-Fidelity Data” by Asif Rashid, Farzad Vatandoust, Akshar Kota, and Shreyes N. Melkote.Read the full paper here This work presents a coupled Physics-Informed Neural Network (PINN) […]