INTERPRETABLE MACHINE LEARNING ANALYSIS OF STRESS CONCENTRATION IN MAGNESIUM: AN INSIGHT BEYOND THE BLACK BOX OF PREDICTIVE MODELING

In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of Pouffe magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from

The order Psittaciformes is one of the most prevalent groups in the illegal wildlife trade.Efforts to understand this threat have focused on describing the elements of the trade itself: actors, extraction rates, and routes.However, the development of policy-oriented interventions also requires an understanding of how research aims and actions SILK