The DNA of nuclear models: How AI predicts nuclear masses
nucl-th, cs.AI, cs.LG, nucl-ex
Submitted: 2025-08-11
Updated: 2025-09-30
Related papers
- BRST quantization for the restoration of broken symmetries: a pedagogical example
- Production Memory of the 225 Ra - 225 Ac Clock in Neutron-Star Merger Ejecta
- FUSION: a skill-based research agent for publicly obtainable nuclear-physics codes
- Sensitivity of Neutron Star Observables to Transition Density in Hybrid Equation-of-State Models
- Exterior complex scaling enables physics-informed neural networks for quantum scattering
- Microscopic Insights into the Quarkyonic Hadron--Quark Crossover: Lessons from Ultracold Fermi Gases