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Analytical expression and neural network study of the symmetry energy
Motivated by classical molecular dynamics simulations of infinite nuclear systems with varying density, temperature and isospin content, an analytical expression that approximates the symmetry energy at subcritical densities is obtained. Similarly a neural network is used to evaluate E Sym in the sa...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
CERN
2019
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| Acceso en línea: | http://cds.cern.ch/record/2669071 |