Quantifying Algorithmic Decision-Making in Engineering: A High-Fidelity Explainable AI (XAI) Framework for Non-Linear RegressionPublished byengrxiv.orgon •1 min readApplying machine learning to safety-critical materials science is often limited by the blackbox nature of AI models. This study presents an explainable AI (XAI) framework to balance predictive accuracy with physical interpretability.machine learningai modelssafety-critical materials scienceexplainable aiLearn moreShareLegalReport
