Y. Ju

Physics-constrained neural networks for direct parameter identification under model-form uncertainty

This work presents a framework that integrates the parametrized-background data-weak formulation with attention-based parameter identification networks, and projects model error onto a dictionary of physically motivated spatial templates rather than learning arbitrary corrections.