Extrapolation of nuclear structure observables with artificial neural networks

Understand

Calculations of nuclei are often carried out in finite model spaces.

• Thus, finite-size corrections enter, and it is necessary to extrapolate the computed observables to infinite model spaces.
• In this work, we employ extrapolation methods based on artificial neural networks for observables such as the ground-state energy and the point-proton radius.
• We extrapolate results from no-core shell model and coupled-cluster calculations to very large model spaces and estimate uncertainties.