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Plasticity models for metals based on empirical mathematical expressions have inherent assumptions which may ignore crucial intricacies of the underlying physics, leading to inaccuracies and variability in predictive capabilities. Some examples include assuming individual grains are all equiaxed, are of equal size, or have a well-defined size distribution within the microstructure of a material. One case in which these assumptions break down is when modeling the complex morphology of grains within additively manufactured materials. Incorporating higher order, non-local physics into these plasticity models allows a greater spatial resolution of deformation processes in metals and can begin to represent grain size, shape, and grain boundary effects. This concept helps to account for grain morphology more explicitly, leading to more accurate dislocation density-based single crystal theories and ultimately better prediction of a materials’ mechanical properties. Host: Curt Bronkhorst |