Deep Learning: A Tool for Computational Nuclear Physics

8 Mar 2018Gianina Alina NegoitaGlenn R. LueckeJames P. VaryPieter MarisAndrey M. ShirokovIk Jae ShinYoungman KimEsmond G. NgChao Yang

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, meteorology, and other fields of science. A major goal of nuclear theory is to predict nuclear structure and nuclear reactions from the underlying theory of the strong interactions, Quantum Chromodynamics (QCD)... (read more)

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