Nuclear binding energies in artificial neural networks

Understand

The binding energy (BE) or mass is one of the most fundamental properties of an atomic nucleus.

• Precise binding energies are vital inputs for many nuclear physics and nuclear astrophysics studies.
• However, due to the complexity of atomic nuclei and of the non-perturbative strong interaction, up to now, no conventional physical model can describe nuclear binding energies with a precision below 0.1 MeV, the accuracy needed by nuclear astrophysical studies.
• In this work, artificial neural networks (ANNs), the so called ``universal approximators", are used to calculate nuclear binding energies.