I am sharing with you a work our team made, focusing on a High Entropy Alloy. It has a particular equiatomic composition (HfNbTaZr). We focused on the competition of the several deformation mechanisms that activate when stressed, and how it behaves in mono and poly crystalline setups, including grain size, and using Molecular Dynamics. We used new techniques developed by our team, including Machine Learning-based filtering, among others, for proper characterization of dislocations and twinning. For the particular case of twinning, I developed a technique using quaternions to obtain IPF*-like color mappings. This allows not only for an easy visual evaluation but also a way to measure the Twin Volume Fraction (TVF, a volumetric parameter), unlike standard algorithms based on structure matching, which detect twinning by its boundaries and bring a 2D parameter as an outcome.