66 citations · 158 across the 5 of their papers we have counts for
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nucl-th2018★ 66 cited
Deep learning: Extrapolation tool for ab initio nuclear theory
Gianina Alina Negoita, James P. Vary, Glenn R. Luecke +8
Ab initio approaches in nuclear theory, such as the no-core shell model (NCSM), have been developed for approximately solving finite nuclei with realistic strong interactions. The…
physics.comp-ph2018★ 6 cited
Deep Learning: A Tool for Computational Nuclear Physics
Gianina Alina Negoita, Glenn R. Luecke, James P. Vary +6
In recent years, several successful applications of the Artificial Neural Networks (ANNs) have emerged in nuclear physics and high-energy physics, as well as in biology, chemistry,…