Application of Deep Neural Network in Finding of Repulsive Part of Molecular Potential Based on Dispersed Emission Spectra

A new method of obtaining parameters of the repulsive part of the analytical potential energy curve of a diatomic molecule, based on the deep neural network approach, is presented. The method was successfully tested on artificially created spectra as well as an experimental bound!free spectrum of the G0+u(61P1)(v' = 39)→X0+g transition in Hg2. The method was tested for a Morse and four-parameter expanded Morse oscillator potentials but can be easily adaptable to other forms of analytical potential energy curves.