Nuclear clustering over the nuclear chart from a covariant EDF approach

Nuclear clustering has been studied with covariant Energy Density Functional approaches for more than a decade. It recently allowed to bridge microscopically the description of cluster states in light nuclei with the one of cluster and alpha decays in heavy ones. The proper use of theoretical tools,...

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Main Authors: Ebran Jean-Paul, Heitz Louis, Khan Elias, Lasseri Raphaël-David, Mercier Florian, Nikšić Tamara, Vretenar Dario, Yüksel Esra, Zhao Jie
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2024/21/epjconf_sotancp2024_00011.pdf
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author Ebran Jean-Paul
Heitz Louis
Khan Elias
Lasseri Raphaël-David
Mercier Florian
Nikšić Tamara
Vretenar Dario
Yüksel Esra
Zhao Jie
author_facet Ebran Jean-Paul
Heitz Louis
Khan Elias
Lasseri Raphaël-David
Mercier Florian
Nikšić Tamara
Vretenar Dario
Yüksel Esra
Zhao Jie
author_sort Ebran Jean-Paul
collection DOAJ
description Nuclear clustering has been studied with covariant Energy Density Functional approaches for more than a decade. It recently allowed to bridge microscopically the description of cluster states in light nuclei with the one of cluster and alpha decays in heavy ones. The proper use of theoretical tools, such as the density and the nucleonic localization function, allows to shed light on the mechanisms of formation and identification of clusters in nuclei. Finally, a global analysis of nuclear clustering is discussed, in order to identify control parameters for a nuclear cluster phase.
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institution OA Journals
issn 2100-014X
language English
publishDate 2024-01-01
publisher EDP Sciences
record_format Article
series EPJ Web of Conferences
spelling doaj-art-c57ebd6907804cf68213e5acb5f09acf2025-08-20T02:13:06ZengEDP SciencesEPJ Web of Conferences2100-014X2024-01-013110001110.1051/epjconf/202431100011epjconf_sotancp2024_00011Nuclear clustering over the nuclear chart from a covariant EDF approachEbran Jean-Paul0Heitz Louis1Khan Elias2Lasseri Raphaël-David3Mercier Florian4Nikšić Tamara5Vretenar Dario6Yüksel Esra7Zhao Jie8CEA, DAM, DIFIJCLab, Université Paris-Saclay, CNRS/IN2P3IJCLab, Université Paris-Saclay, CNRS/IN2P3IJCLab, Université Paris-Saclay, CNRS/IN2P3IJCLab, Université Paris-Saclay, CNRS/IN2P3Physics Department, Faculty of Science, University of ZagrebPhysics Department, Faculty of Science, University of ZagrebDepartment of Physics, University of Surrey, GuildfordCenter for Quantum Computing, Peng Cheng LaboratoryNuclear clustering has been studied with covariant Energy Density Functional approaches for more than a decade. It recently allowed to bridge microscopically the description of cluster states in light nuclei with the one of cluster and alpha decays in heavy ones. The proper use of theoretical tools, such as the density and the nucleonic localization function, allows to shed light on the mechanisms of formation and identification of clusters in nuclei. Finally, a global analysis of nuclear clustering is discussed, in order to identify control parameters for a nuclear cluster phase.https://www.epj-conferences.org/articles/epjconf/pdf/2024/21/epjconf_sotancp2024_00011.pdf
spellingShingle Ebran Jean-Paul
Heitz Louis
Khan Elias
Lasseri Raphaël-David
Mercier Florian
Nikšić Tamara
Vretenar Dario
Yüksel Esra
Zhao Jie
Nuclear clustering over the nuclear chart from a covariant EDF approach
EPJ Web of Conferences
title Nuclear clustering over the nuclear chart from a covariant EDF approach
title_full Nuclear clustering over the nuclear chart from a covariant EDF approach
title_fullStr Nuclear clustering over the nuclear chart from a covariant EDF approach
title_full_unstemmed Nuclear clustering over the nuclear chart from a covariant EDF approach
title_short Nuclear clustering over the nuclear chart from a covariant EDF approach
title_sort nuclear clustering over the nuclear chart from a covariant edf approach
url https://www.epj-conferences.org/articles/epjconf/pdf/2024/21/epjconf_sotancp2024_00011.pdf
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