# A first step in the nuclear inverse Kohn-Sham problem: from densities to potentials

## TL;DR

This paper explores the inverse Kohn-Sham problem in nuclear DFT, aiming to derive potentials from experimental densities, highlighting algorithm robustness and challenges with experimental data.

## Contribution

It introduces algorithms to extract Kohn-Sham potentials from nuclear densities, marking a first step in applying inverse DFT to nuclear physics.

## Key findings

- Robust algorithms for potential extraction are identified.
- Experimental densities pose critical challenges.
- Future directions for inverse DFT in nuclear physics are discussed.

## Abstract

Nuclear Density Functional Theory (DFT) plays a prominent role in the understanding of nuclear structure, being the approach with the widest range of applications. Hohenberg and Kohn theorems warrant the existence of a nuclear Energy Density Functional (EDF), yet its form is unknown. Current efforts to build a nuclear EDF are hindered by the lack of a strategy for systematic improvement. In this context, alternative approaches should be pursued and, so far, an unexplored avenue is that related to the inverse DFT problem. DFT is based on the one-to-one correspondence between Kohn-Sham (KS) potentials and densities. The exact EDF produces the exact density, so that from the knowledge of experimental or {\it ab initio} densities one may deduce useful information through reverse engineering. The idea has already been proven to be useful in the case of electronic systems. The general problem should be dealt with in steps, and the objective of the present work is to focus on testing algorithms to extract the Kohn-Sham potential within the simplest ansatz from the knowledge of the experimental neutron and proton densities. We conclude that while robust algorithms exist, the experimental densities present some critical aspects. Finally, we provide some perspectives for future works.