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Mechanics-informed machine learning for predicting mechanical properties of heat-treated multi-metal alloys
This study investigates the mechanical behavior and damage evolution of heat-treated multi-metal alloys through an integrated framework combining machine learning and mechanics-based analysis. A comprehensive dataset comprising approximately 1500 alloy samples was analyzed to predict ultimate tensil
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