arXiv cs.LG
· Papers
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework
arXiv:2604.14562v2 Announce Type: replace Abstract: Accurate temperature field prediction in metal additive manufacturing (AM) is essential for understanding the process-structure-performance relationship. While prior studies have explored generalization to unseen process conditions, they often require extensive datase