Machine Learning in the Problem of No-Core Shell Model Result Extrapolations

A method for extrapolating the results of variational calculations to the case of the infinite basis using an ensemble of artificial neural networks is proposed. Extrapolations of the no-core shell model results obtained with the nucleon–nucleon interaction Daejeon16 for the ground state energies, as well as for the root-mean-square (rms) point-proton, point-neutron, and point-nucleon (matter) radii of the \({}^{6}\) Li and \({}^{6}\) He nuclei, are performed.