Geometric and topological deep learning for predicting thermo-mechanical performance in cold spray deposition process modeling
This study presents a geometric deep learning framework for predicting cold spray particle impact responses using finite element simulation data. A parametric dataset was generated through automated Abaqus simulations spanning a systematic range of particle velocity, particle temperature, and friction coefficient, yiel...