Neural network emulation of spontaneous fission-Reference-Cited by-同舟云学术

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Neural network emulation of spontaneous fission

Published:2024-04-02 Issue:4 Volume:109 Page:
ISSN:2469-9985
Container-title:Physical Review C
language:en
Short-container-title:Phys. Rev. C

Author:

Lay Daniel^ORCID,Flynn Eric^ORCID,Giuliani Samuel A.^ORCID,Nazarewicz Witold^ORCID,Neufcourt Léo^ORCID

Funder

U.S. Department of Energy

Office of Science

Nuclear Physics

Agencia Estatal de Investigación

Ministerio de Ciencia e Innovación

European Commission

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevC.109.044305/fulltext

Reference61 articles.

1. Synthesis of the Elements in Stars

2. Nuclear Reactions in Stars and Nucleogenesis

3. r-process nucleosynthesis: connecting rare-isotope beam facilities with the cosmos

4. Current status of r-process nucleosynthesis

5. Origin of the heaviest elements: The rapid neutron-capture process

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1. Mixture density network in evaluating incomplete fission mass yields;The European Physical Journal A;2024-09-12

2. Machine learning study of fission barriers in superheavy nuclei;Physical Review C;2024-09-11

3. Multimodal fission from self-consistent calculations;Physical Review C;2024-04-02

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