Proton-neutron entanglement entropy is shown to track the formation of the island of inversion in Ne, Mg, and Si isotopes, with mutual information revealing stronger proton-neutron correlations in excited states than in ground states.
arXiv:1801.08432v1 [physics.comp-ph], 2018
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An artificial neural network generates a new effective interaction jj44b_nn from jj44b, yielding shell model results for proton-rich Zn isotopes that are comparable to the original and closer to experiment in some cases.
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Entanglement study in the island of inversion region using \textit{ab initio} approach
Proton-neutron entanglement entropy is shown to track the formation of the island of inversion in Ne, Mg, and Si isotopes, with mutual information revealing stronger proton-neutron correlations in excited states than in ground states.
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Shell Model Calculations for Proton-rich Zn Isotopes via New Generated Effective Interaction by Artificial Neural Networks
An artificial neural network generates a new effective interaction jj44b_nn from jj44b, yielding shell model results for proton-rich Zn isotopes that are comparable to the original and closer to experiment in some cases.