This cluster of papers focuses on the phenomenon of dynamic recrystallization in metallic materials under hot, cold, and severe plastic deformation conditions. It includes research on constitutive modeling, flow behavior, microstructural evolution, and nucleation mechanisms at high temperatures. The use of artificial neural networks and processing maps is also explored in predicting and analyzing the dynamic recrystallization process.