Search Results for author: James P. Vary

Found 3 papers, 0 papers with code

Positronium: an illustration of nonperturbative renormalization in a basis light-front approach

no code implementations11 Mar 2021 Xingbo Zhao, Kaiyu Fu, Hengfei Zhao, James P. Vary

We calculate the mass spectrum and the structure of the positronium system at a strong coupling in a basis light-front approach.

High Energy Physics - Phenomenology Nuclear Theory

Deep learning: Extrapolation tool for ab initio nuclear theory

no code implementations6 Oct 2018 Gianina Alina Negoita, James P. Vary, Glenn R. Luecke, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang, Matthew Lockner, Gurpur M. Prabhu

The NCSM and other approaches require an extrapolation of the results obtained in a finite basis space to the infinite basis space limit and assessment of the uncertainty of those extrapolations.

Deep Learning: A Tool for Computational Nuclear Physics

no code implementations8 Mar 2018 Gianina Alina Negoita, Glenn R. Luecke, James P. Vary, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao 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.

Computational Physics Nuclear Theory

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