From Weak Binding to Resonances: Extrapolating Unbound Nuclei

In the rare isotope beam era, developing scalable ab initio approaches for the description of many-body resonances is critical to guide the exploration of the drip lines, understand the dynamics of exotic nuclei, and predict low-energy cross sections of reactions of astrophysical interest. While state-of-the-art methods can now routinely describe narrow few-body resonances, they tend to struggle when many nucleons are strongly coupled to the continuum of scattering states. In this talk, I will show how to overcome this problem by building scalable and efficient Gamow-state emulators using novel machine learning/artificial intelligence (ML/AI) techniques. This is achieved by leveraging the intimate mathematical connection between resonances and weakly bound states, allowing the prediction of resonant physics by training purely on bound state calculations. I will start by introducing the formalism, presenting proofs of principle in ⁶He and ⁶Be isotopes described as three-body systems, and finally show a path towards exotic nuclei at the edge of stability such as the five-proton emitter ⁹N.