Pusan National University scientists develop new simulation model to predict magnesium alloy fatigue

South Korea's Pusan National University team develops a hybrid model blending machine learning with physical principles for better fatigue life predictions

Researchers from Pusan National University, South Korea, have made a significant breakthrough by developing a hybrid simulation model that combines machine learning and physical principles for predicting the fatigue life of magnesium alloys, a key material in the lightweight automotive and aerospace manufacturing sectors.