Data for "Physics-Informed Framework for Inverse Identification of Warpage"

PINN Warpage Inverse Identification — Dataset============================================== This dataset accompanies the manuscript:"Physics-Informed Computational Framework for Inverse Identification ofProcess-Induced Warpage in Thermally Loaded Thin-Walled Structuresunder Sparse Observations" Authors: Zhi Shan Contents--------synthetic/ temp_obs.npz Self-consistent synthetic temperature observations (300 pts) warpage_obs.npz Self-consistent synthetic warpage observations (150 pts) generate_demo_data.py Script used to generate synthetic data moldflow/ plate.pat PAT mesh for flat plate (200×20×2 mm, PP, 37,483 nodes) BW.xml Moldflow temperature data (15 time steps, 0.39–30.0 s) QQ.xml Moldflow warpage displacement data (37,455 nodes) checkpoints/ thermal_best.pt Trained ThermalPINN model weights beam_best.pt Trained BeamPINN model weights sx_best.pt Trained LearnableSx model weights results/ multi_seed_stats.json Multi-seed training statistics (N=5, seeds 42-46) ablation_results.json Ablation experiment results (9 conditions) least_squares_baseline.json Unregularized least-squares baseline least_squares_regularized.json Regularized least-squares baseline License: CC-BY 4.0