Understanding nuclear reactions between light-charged nuclei in the sub-Coulomb energy
region is crucial for several astrophysical processes. Accurate determination of the reaction …

Applications of new techniques in machine learning are speeding up progress in research in
various fields. In this work, we construct and evaluate a deep neural network (DNN) to be …

This white paper is the result of a collaboration by those that attended a workshop at the
Facility for Rare Isotope Beams (FRIB), organized by the FRIB Theory Alliance (FRIB-TA), on …

Background: When multiple fission modes coexist in a given nucleus, distinct fragment yield
distributions appear. Multimodal fission has been observed in a number of fissioning nuclei …

The synthesis of superheavy elements represents the forefront of exploring the properties of
unknown nuclear matter. Theoretically, significant uncertainties in predicting the fission …

This work explores the construction of a fast emulator for the calculation of the final pattern of
nucleosynthesis in the rapid neutron capture process (the $ r $-process). An emulator is built …

Accurately modeling fission product yields (FPY) is crucial yet challenging due to the
complex quantum-mechanical nature of nuclear reactions. Traditional models face …

The validation, verification, and uncertainty quantification of computationally expensive
theoretical models of quantum many-body systems require the construction of fast and …