Machine learning approach to pattern recognition in nuclear dynamics from the ab initio symmetry-adapted no-core shell model
OM Molchanov, KD Launey, A Mercenne, GH Sargsyan… - Physical Review C, 2022 - APS
A novel machine learning approach is used to provide further insight into atomic nuclei and
to detect orderly patterns amid a vast data of large-scale calculations. The method utilizes a …
to detect orderly patterns amid a vast data of large-scale calculations. The method utilizes a …
Structure of the low-lying positive-parity states in
HG Ganev - Physical Review C, 2018 - APS
The proton-neutron symplectic model with Sp (12, R) dynamical algebra is applied to the
simultaneous description of the microscopic structure of the low-lying states of the lowest …
simultaneous description of the microscopic structure of the low-lying states of the lowest …
Microscopic structure of the low-lying negative-parity states in
HG Ganev - Physical Review C, 2019 - APS
The proton-neutron symplectic model with Sp (12, R) dynamical algebra is applied to the
description of the microscopic structure of the low-lying negative-parity states of the K π= 0 …
description of the microscopic structure of the low-lying negative-parity states of the K π= 0 …
Structure of the low-lying positive parity states in the proton-neutron symplectic model
HG Ganev - Journal of Physics: Conference Series, 2018 - iopscience.iop.org
The proton-neutron symplectic model with Sp (12, R) dynamical symmetry is applied for the
simultaneous description of the microscopic structure of the low-lying states of the ground …
simultaneous description of the microscopic structure of the low-lying states of the ground …