The low-lying nuclear structure of even-even Zn isotopes ranging from 62\documentclass[12pt]{minimal}
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\begin{document}$$^{62}$$\end{document}Zn to 70\documentclass[12pt]{minimal}
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\begin{document}$$^{70}$$\end{document}Zn has been comprehensively examined through large scale shell model calculations. These calculations encompassed the f5/2p3/2,1/2g9/2\documentclass[12pt]{minimal}
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\begin{document}$$_{5/2}\textrm{p}_{3/2,1/2}\textrm{g}_{9/2}$$\end{document} (fpg) model space without any truncation, employing 56\documentclass[12pt]{minimal}
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\begin{document}$$^{56}$$\end{document}Ni as an inert core. Two different effective interactions, JUN45 and jj44b, were utilized in these calculations. Various critical observables, including excitation energies, reduced transition strengths, and electric quadrupole moments, were computed and then evaluated in the context of existing experimental data. The configurations of the resulting wave functions were also thoroughly analyzed. Furthermore, occupation probabilities for distinct single-particle orbitals were determined, with particular attention given to the pivotal role of the g9/2\documentclass[12pt]{minimal}
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\begin{document}$$_{9/2}$$\end{document} orbital in elucidating the nuclear structure of heavy Zn isotopes. Additionally, rotational invariants were calculated for the ground state, shedding light on a prolate deformation in 62\documentclass[12pt]{minimal}
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\begin{document}$$^{62}$$\end{document}Zn and 64\documentclass[12pt]{minimal}
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\begin{document}$$^{64}$$\end{document}Zn, while suggesting moderate prolate-triaxial excitations in 66\documentclass[12pt]{minimal}
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\begin{document}$$^{66}$$\end{document}Zn, 68\documentclass[12pt]{minimal}
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\begin{document}$$^{68}$$\end{document}Zn, and 70\documentclass[12pt]{minimal}
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\begin{document}$$^{70}$$\end{document}Zn. These findings hold significant relevance for interpreting the intriguing outcomes of sub-barrier Coulomb excitation experiments, offering invaluable insights into the static electromagnetic properties of the nucleus through a model-independent approach.
