Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Domain-informed Adaptive Sampling for Generalizable PINNs in Metal Additive Manufacturing via Conditional Flow Matching
Hyeonsu Lee, Jihoon Jeong
Accurate thermal modeling is essential in metal additive manufacturing (AM) for understanding the process-structure-property chain. Physics-informed neural networks (PINNs) offer e…
cs.LG2026
Material-agnostic temperature field prediction for metal additive manufacturing via a parametric PINN framework
Hyeonsu Lee, Jihoon Jeong
Accurate temperature field prediction in metal additive manufacturing (AM) is essential for understanding the process-structure-performance relationship. While prior studies have e…