Predicting Fission Fragment Distributions and Fusion Barriers from Evolving Shell Structures
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901770999955456 |
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| author | Revista, Zen PHYSICS, 10 |
| author_facet | Revista, Zen PHYSICS, 10 |
| contents | The accurate prediction of fission fragment distributions and fusion barriers is a cornerstone of nuclear physics, impacting fundamental understanding of nuclear structure, astrophysical processes, and technological applications such as nuclear energy. Central to these predictions is the intricate role of nuclear shell structures, which are not static but evolve with deformation, excitation energy, and nucleon number. This paper explores theoretical frameworks that account for the evolution of these shell effects and their profound influence on the potential energy surfaces governing both fission and fusion dynamics. We review macroscopic-microscopic models and self-consistent approaches, such as Density Functional Theory, which incorporate shell corrections to describe the complex multi-dimensional energy landscapes. Special attention is given to how the vanishing or emergence of magic numbers at extreme deformations or excitation energies directly dictates the asymmetry and yields of fission fragments, as well as the magnitude and landscape of fusion barriers. We discuss the interplay between static shell effects and dynamic dissipative processes, highlighting how models like Langevin dynamics are crucial for capturing the full picture of fragment formation. Furthermore, the implications for understanding superheavy element synthesis and the dynamics of stellar nucleosynthesis are considered. This comprehensive analysis underscores the necessity of incorporating evolving shell structures for robust and predictive nuclear reaction models, moving beyond static views to embrace the dynamic quantum interplay that shapes the nuclear landscape. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17751823 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Predicting Fission Fragment Distributions and Fusion Barriers from Evolving Shell Structures Revista, Zen PHYSICS, 10 The accurate prediction of fission fragment distributions and fusion barriers is a cornerstone of nuclear physics, impacting fundamental understanding of nuclear structure, astrophysical processes, and technological applications such as nuclear energy. Central to these predictions is the intricate role of nuclear shell structures, which are not static but evolve with deformation, excitation energy, and nucleon number. This paper explores theoretical frameworks that account for the evolution of these shell effects and their profound influence on the potential energy surfaces governing both fission and fusion dynamics. We review macroscopic-microscopic models and self-consistent approaches, such as Density Functional Theory, which incorporate shell corrections to describe the complex multi-dimensional energy landscapes. Special attention is given to how the vanishing or emergence of magic numbers at extreme deformations or excitation energies directly dictates the asymmetry and yields of fission fragments, as well as the magnitude and landscape of fusion barriers. We discuss the interplay between static shell effects and dynamic dissipative processes, highlighting how models like Langevin dynamics are crucial for capturing the full picture of fragment formation. Furthermore, the implications for understanding superheavy element synthesis and the dynamics of stellar nucleosynthesis are considered. This comprehensive analysis underscores the necessity of incorporating evolving shell structures for robust and predictive nuclear reaction models, moving beyond static views to embrace the dynamic quantum interplay that shapes the nuclear landscape. |
| title | Predicting Fission Fragment Distributions and Fusion Barriers from Evolving Shell Structures |
| url | https://doi.org/10.5281/zenodo.17751823 |