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Excitation energy of fission fragments within nuclear time-dependent density functional theory
Antonio Bjelčić, Nicolas Schunck, Marc Verriere
The number and properties of the neutrons and photons emitted in nuclear fission are directly related to the excitation energy of the fission fragments when they are formed at scis…
Microscopic theory of angular momentum distributions across the full range of fission fragments
Petar Marević, Nicolas Schunck, Marc Verriere
Modern nuclear theory provides qualitative insights into the fundamental mechanisms of nuclear fission and is increasingly capable of making reliable quantitative predictions. Most…
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…
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…