Explainable AI Framework Validates Neural Networks for Physics Modeling

This research explores the use of explainable AI to validate neural networks as surrogates for physics-based models, focusing on constitutive relations. The paper's contribution lies in providing a framework to assess the reliability and interpretability of these AI-driven surrogates.