Problem Case • We aim to unfold reactor transfer function to provide core diagnostics. • Derivation of core perturbation characteristics to classify and locate its origin. • Yet this is challenging due to the limited number of neutron detectors in western type reactors. • We ask, can we use machine learning to successfully approximate the reactor transfer function? • However, to effectively train ML algorithms large quantities of data are required. More details can be found in the presentation file