Mini-Symposium: Computational Nuclear Physics for Exotic Nuclei and Astrophysics I
FOCUS · G03 · ID: 3560219
Presentations
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Machine Learning for the Properties of Exotic Nuclei
ORAL · Invited
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Publication: Atomic masses with machine learning for the astrophysical r process. (PLB 2024)
Presenters
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Mengke Li
University of California, Berkeley
Authors
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Mengke Li
University of California, Berkeley
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Matthew R Mumpower
Los Alamos National Laboratory (LANL)
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Nicole Vassh
TRIUMF
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William S Porter
Notre Dame, University of Notre Dame
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Rebecca A Surman
University of Notre Dame
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Global calculations of gamma-ray strength functions with the Skyrme finite amplitude method
ORAL
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Presenters
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Tong Li
Facility for Rare Isotope Beams, Michigan State University
Authors
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Tong Li
Facility for Rare Isotope Beams, Michigan State University
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Nicolas Schunck
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The effect of β-decay properties on the r-process nucleosynthesis
ORAL
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Presenters
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Yukiya Saito
Facility for Rare Isotope Beams
Authors
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Yukiya Saito
Facility for Rare Isotope Beams
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Ante Ravlic
Facility for Rare Isotope Beams
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Rebecca A Surman
University of Notre Dame
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Witold Nazarewicz
Michigan State University
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Fission Lifetimes and Yields for r-process Nucleosynthesis using Density Functional Theory Emulators
ORAL
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Publication: A reduced order model for axially-deformed density functional theory (in preparation)
Presenters
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Daniel Lay
Argonne National Laboratory
Authors
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Daniel Lay
Argonne National Laboratory
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Eric Flynn
Michigan State University
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Pablo G Giuliani
Facility for Rare Isotope Beams
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Kyle S Godbey
Michigan State University, Facility for Rare Isotope Beams
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Witold Nazarewicz
Michigan State University, Facility for Rare Isotope Beams
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Global mass calculations within the covariant density functional theory: progress and challenges
ORAL
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Publication: [1] D. Vretenar, A. V. Afanasjev, G. A. Lalazissis, and P. Ring, Phys. Rep. 409, 101 (2005).<br>[2] A. Taninah, B. Osier, A.V. Afanasjev, U.C. Perera and S. Teeti, Phys. Rev. C 109, 024321 (2024)<br>[3] B. Osei, A. V. Afanasjev, A. Taninah, A. Dalbah, U. C. Perera, V. A. Dzuba, and V. V. Flambaum, <br> submitted to Phys. Rev. C
Presenters
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Ali Dalbah
Mississippi State University
Authors
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Ali Dalbah
Mississippi State University
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Anatoli Afanasjev
Mississippi State University
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Bernard Osei
Mississippi State University
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Ahmad Taninah
Louisiana State University - Shreveport
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Udeshika Chathurangani Perera
University of Nevada, Reno
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saja A.A Teeti
Mississippi State University
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Vladimir Dzuba
University of New South Wales
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Victor V Flambaum
University of New South Wales
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Deep Learning Nuclear Cross Sections: Extrapolating to the Dripline with GNN-VAE Frameworks.
ORAL
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Presenters
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Manuel Catacora-Rios
Michigan State University
Authors
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Manuel Catacora-Rios
Michigan State University
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Hongjun Choi
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Shusen Liu
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Ruben Glatt
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Andre Sieverding
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Kyle A Wendt
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Nicolas Schunck
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