STI Publications - View Publication Form #16769
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Publication Information
| Title | Nuclei with up to A = 6 nucleons with artificial neural network wave functions | ||||
| Abstract | 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 Schr ?odinger 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 6Li and 6He 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. | ||||
| Author(s) | Alex Gnech, Corey Adams, Nicholas Brawand, Giuseppe Carleo, Alessandro Lovato, Noemi Rocco | ||||
| Publication Date | December 2021 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
| Funding Source | Nuclear Physics (NP) | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Few Body Systems |
| Refereed | Yes |
| Volume | 63 |
| Issue | |
| Page(s) | 1 |
Attachments/Datasets/DOI Link
| Document(s) |
ANL_HH1.pdf
(STI Document)
2108.06836.pdf
(Accepted Manuscript)
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| DOI Link | |
| Dataset(s) | (none) |
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