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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...

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Detalles Bibliográficos
Autores principales: López, Jorge A, Muñoz, Jorge A
Lenguaje:eng
Publicado: CERN 2019
Acceso en línea:http://cds.cern.ch/record/2669071