NCSMC enables ab initio predictions of structure, resonances, and reactions in halo nuclei such as 6He, 8B, 11Be, and 15C from chiral interactions alone.
Accurate nuclear radii and binding energies from a chiral interaction.Phys
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Monte Carlo dropout Bayesian neural network trained with physics inputs reproduces abrupt charge-radii increase near N=60 for Z=37-40 and shell quenching at N=126, achieving comparable RMSD on training and validation sets.
A review of random phase approximation, Lorentz integral transform coupled-cluster, projected generator-coordinate, and self-consistent Green's functions methods for nuclear giant resonances, with benchmark comparisons on 16O and 40Ca.
citing papers explorer
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Halo Nuclei from Ab Initio Nuclear Theory
NCSMC enables ab initio predictions of structure, resonances, and reactions in halo nuclei such as 6He, 8B, 11Be, and 15C from chiral interactions alone.
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Input-driven analysis in predicting nuclear charge radii using Monte Carlo dropout Bayesian neural network
Monte Carlo dropout Bayesian neural network trained with physics inputs reproduces abrupt charge-radii increase near N=60 for Z=37-40 and shell quenching at N=126, achieving comparable RMSD on training and validation sets.
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Nuclear giant resonances from first principles
A review of random phase approximation, Lorentz integral transform coupled-cluster, projected generator-coordinate, and self-consistent Green's functions methods for nuclear giant resonances, with benchmark comparisons on 16O and 40Ca.