Taming nuclear complexity with a committee of multilayer neural networks

R. -D. Lasseri, D. Regnier, J. -P. Ebran +1

We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the…