Discovering nuclear models from symbolic machine learning
Abstract Numerous phenomenological nuclear models have been proposed to describe specific observables within different regions of the nuclear chart. However, developing a unified model that describes the complex behavior of all nuclei remains an open challenge. Here, we explore whether symbolic Mach...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-025-02023-2 |
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