Author: Mohammad

Our new paper presents a physics-based machine learning model for predicting asphalt test results, combining a data-driven approach with physical constraints to improve reliability and interpretability. The main contribution is the methodology itself: a framework that leverages existing experimental data while remaining consistent with known material behavior. Although we demonstrate the approach using the Marshall…