The present work highlights opportunities and open research issues about the phenomena
accompanying the Zr corrosion and describes that with both, the generalization of established
opinions and the presentation of individual investigations. The overview aimed to lay out the
phenomena accompanying Zr corrosion to better understand the restrictions and assumptions of
modern process models and reveal perspectives of simulations. The formation and destruction of
the protective oxidized cladding were analyzed and summarized in the following groups:
chemical composition of the alloy; kinetics of oxide layer formation; electrochemical processes;
chemistry of the coolant; hydrogen absorption; irradiation. The physicochemical, electrochemical,
and crystallographic processes driving the multi-scale, multi-phase, multi-parametric Zr corrosion
are strongly correlated, barely distinguishable, and have combined, and competing impacts that
are very comprehensive to the numerical modeling. Despite a boundless number of studies,
mostly empirical, Zr corrosion does not still have fundamental analytical descriptions. The noticeable
improvement could be achieved by applying modern machine learning technologies
allowing the analysis and optimization of multi-parametrical processes. The described groups
of phenomena can be included in the clustering of the neural network of the deep learning
approach in the integrated expert system for the Zr alloy corrosion.