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research article

Nuclei with Up to A=6 Nucleons with Artificial Neural Network Wave Functions

Gnech, Alex
•
Adams, Corey
•
Brawand, Nicholas
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March 1, 2022
Few-Body Systems

The ground-breaking works of Weinberg have opened the way to calculations of atomic nuclei that are based on systematically improvable Hamiltonians. Solving the associated many-body Schrodinger equation involves non-trivial difficulties, due to the non-perturbative nature and strong spin-isospin dependence of nuclear interactions. Artificial neural networks have proven to be able to compactly represent the wave functions of nuclei with up to A = 4 nucleons. In this work, we extend this approach to Li-6 and He-6 nuclei, using as input a leading-order pionless effective field theory Hamiltonian. We successfully benchmark their binding energies, point-nucleon densities, and radii with the highly-accurate hyperspherical harmonics method.

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Type
research article
DOI
10.1007/s00601-021-01706-0
Web of Science ID

WOS:000728835600001

Author(s)
Gnech, Alex
Adams, Corey
Brawand, Nicholas
Carleo, Giuseppe  
Lovato, Alessandro
Rocco, Noemi
Date Issued

2022-03-01

Publisher

SPRINGER WIEN

Published in
Few-Body Systems
Volume

63

Issue

1

Start page

7

Subjects

Physics, Multidisciplinary

•

Physics

•

effective-field theory

•

ground-state

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CQSL  
Available on Infoscience
January 31, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/185016
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