2 papers
hep-ph2026
Good flavor search in SU(5): a machine learning approach
Fayez Abu-Ajamieh, Shinsuke Kawai, Nobuchika Okada
We revisit the fermion mass problem of the grand unified theory using machine learning techniques. The original model proposed by Georgi and Glashow is incompatible…
hep-ph2024
Truth, beauty, and goodness in grand unification: a machine learning approach
Shinsuke Kawai, Nobuchika Okada
We investigate the flavour sector of the supersymmetric Grand Unified Theory (GUT) model using machine learning techniques. The minimal model is known to predict fe…