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 magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the mi

Reservoir computers (RCs) are biology-inspired computational frameworks for signal processing that are typically implemented using recurrent neural networks.Recent work has shown that Boolean networks (BN) can also be used as reservoirs.We analyze the performance of BN RCs, measuring their flexibility and identifying the factors that determine the