134 citations · 468 across the 21 of their papers we have counts for
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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…
Nucleon- Scattering and Resonances in He and Li with JISP16 and Daejeon16 interactions
A. M. Shirokov, A. I. Mazur, I. A. Mazur +5
The SS-HORSE approach to analysis of resonant states is generalized to the case of charged particle scattering utilizing analytical properties of partial scattering amplitudes and…
Nuclear structure in Parity Doublet Model
Myeong-Hwan Mun, Ik Jae Shin, Won-Gi Paeng +2
Using an extended parity doublet model with the hidden local symmetry, we study some properties of nuclei in the mean field approximation to see if the parity doublet model could r…
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,…