Relating plasticity to dislocation properties by data analysis: scaling vs. machine learning approaches

Abstract Plasticity modelling has long relied on phenomenological models based ad-hoc assumption of constitutive relations, which are then fitted to limited data. Other work is the consideration physical mechanisms seek establish a foundation observed plastic deformation behavior through identification isolated defect processes (’mechanisms’) either experimentally or in simulations and serve formulate so-called physically models. Neither these approaches adequate capture complexity belongs into realm emergent collective phenomena, understand complex interplay multiple pathways at core modern high performance structural materials. Data offer alternative towards plasticity whose strengths limitations we explore here for simple example, namely between rate dislocation density dependent strengthening fcc metals.