4 papers
Nuclear Reaction Data for Fission Products Off Stability
Gustavo Nobre, Emanuel Chimanski, Aman Sharma +4
Neutron cross sections on fission products are relevant to a wide range of applications, including nuclear nonproliferation and forensics, spent-fuel assay, reactor burnup and desi…
Learning nuclear cross sections across the chart of nuclides with graph neural networks
Hongjun Choi, Sinjini Mitra, Jason Brodksy +6
In this work, we explore the use of deep learning techniques to learn how nuclear cross sections change as we add or remove protons and neutrons. As a proof of principle, we focus…
Quantifying uncertainty in machine learning on nuclear binding energy
Mengyao Huang, Kyle A. Wendt, Nicolas F. Schunck +1
Techniques from artificial intelligence and machine learning are increasingly employed in nuclear theory, however, the uncertainties that arise from the complex parameter manifold…
Evaluation of phase shifts for non-relativistic elastic scattering using quantum computers
Francesco Turro, Kyle A. Wendt, Sofia Quaglioni +2
Simulations of scattering processes are essential in understanding the physics of our universe. Computing relevant scattering quantities from ab initio methods is extremely difficu…