Predicting bc ̅ Meson Mass Spectra Using Neural Network with Combined Cornell and Quadratic Potentials

This paper examines the bc ̅ meson mass spectra employing a neural network (NN) method which blends Cornell potential with an additional quadratic potential. Our results, which were compared with theoretical and experimental references, confirm the validity of the combined potential model for the description of the properties of bc ̅ mesons. We further apply the method to a hypothetical four-dimensional space to give a theoretical framework for the description of the effect of additional dimensions on quarkonium systems. The results are consistent with the applicability of the NN method, enhanced with the modeling of complex potential, to the study of heavy meson spectroscopy