3 papers
nucl-th2026
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…
nucl-th2025
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…
nucl-th2024
Bayesian model mixing with multi-reference energy density functional
Aman Sharma, Nicolas Schunck, Kyle Wendt
Reliably predicting nuclear properties across the entire chart of isotopes is important for applications ranging from nuclear astrophysics to superheavy science to nuclear technolo…