• [1]

    P. Ring, and P. Schuck, The nuclear many-body problem (New York: Springer Science & Business Media, 2004)

  • [2]

    K. S. Krane, Introductory nuclear physics (New York: John Wiley & Sons, 1991)

  • [3]

    K. W. Ford and D. L. Hill, Ann. Rev. Nucl. Part. Sci. 5, 25 (1955)

  • [4]

    H. F. Ehrenberg, R. Hofstadter, U. Meyer-Berkhout et al., Phys. Rev. 113, 666 (1959)

  • [5]

    L. R. Suelzle, M. R. Yearian, H. Crannell, Phys. Rev. 162, 992 (1967)

  • [6]

    I. Angeli, Y. P. Gangrsky, K. P. Marinova et al., J. Phys. G Nucl. Part. Phys. 36, 085102 (2009)

  • [7]

    C. V. Weizsäcker, Zeitschrift für Physik. 96, 431 (1935)

  • [8]

    J. Duflo, Nucl. Phys. A 29, 576 (1994)

  • [9]

    J. Piekarewicz, M. Centelles, X. Roca-Maza et al., Eur. Phys. J. A. 46, 379 (2010)

  • [10]

    N. Wang, T. Li, Phys. Rev. C 88, 011301 (2013)

  • [11]

    M. V. Stoitsov, J. Dobaczewski, W. Nazarewicz et al., Phys. Rev. C 68, 054312 (2003)

  • [12]

    S. Goriely, N. Chamel, and J. Pearson, Phys. Rev. C. 88, 024308 (2013)

  • [13]

    P. G. Reinhard, Rep. Prog. Phys. 52, 439 (1989)

  • [14]

    C. Ma, Y. Y. Zong, Y. M. Zhao et al., Phys. Rev. C 104, 014303 (2021)

  • [15]

    R.-Y. Zheng, X.-X. Sun, G. F. Shen et al., Chin. Phys. C 48, 014107 (2024)

  • [16]

    X. Zhang, Z. Niu, W. Sun et al., Phys. Rev. C 108, 024310 (2023)

  • [17]

    K. Zhang et al., At. Data Nucl. Data Tables 144, 101488 (2022)

  • [18]

    P. Choudhary, P. C. Srivastava, and P. Navrátil, Phys. Rev. C 102, 044309 (2020)

  • [19]

    C. Forssén, E. Caurier, and P. Navrátil, Phys. Rev. C 79, 021303 (2009)

  • [20]

    A. Boehnlein et al., arXiv: 2112.02309

  • [21]

    E. Yüksel, D. Soydaner, and H. Bahtiyar, Phys. Rev. C 109, 064322 (2024)

  • [22]

    M. Wang, W. Huang, and F. G. Kondev, Chin. Phys. C 45, 030003 (2021)

  • [23]

    W. J. Huang, M. Wang, F. G. Kondev et al., Chin. Phys. C 45, 030002 (2021)

  • [24]

    B. Pandey and S. Giri, AIP Adv. 14, 10 (2024)

  • [25]

    C. Y. Tsang et al., arXiv: 2107.13985

  • [26]

    T. Bayram, S. Akkoyun, S. Okan Kara et al., Ann. Nucl. Energy. 63, 172 (2014)

  • [27]

    Z. Jin and M. Yan, Phys. Rev. C 108, 014326 (2023)

  • [28]

    Q. Yuan and P. Qi, arXiv: 2508.03155

  • [29]

    H. Q. You, X. T. He et al., Nucl. Sci. Tech. 36, 1 (2025)

  • [30]

    Z. Yuan, D. Bai et al., Chin. Phys. C 46, 024101 (2022)

  • [31]

    T. Bayram, C. M. Yeşilkanat, and S. Akkoyun, Phys. Scr. 98, 125310 (2023)

  • [32]

    A. Jalili and A.-X. Chen, New J. Phys. 26, 103017 (2024)

  • [33]

    D. Wu, C. Bai, H. Sagawa et al., Phys. Rev. C 102, 054323 (2020)

  • [34]

    R. Utama, W. C. Chen, and J. Piekarewicz, J. Phys. G: Nucl. Part. Phys. 43, 114002 (2016)

  • [35]

    Y. Ma, C. Su, J. Liu et al., Phys. Rev. C 101, 014304 (2020)

  • [36]

    X. X. Dong, R. An, J. X. Lu et al., Phys. Rev. C 105, 014308 (2022)

  • [37]

    X. X. Dong, R. An, J. X. Lu et al., Phys. Lett. B. 838, 137726 (2023)

  • [38]

    Jian Liu, Kai-Zhong Tan, Lei Wang et al., Nucl Sci Tech. 36, 215 (2025)

  • [39]

    T. Li, Y. Luo, and N. Wang, Atomic Data and Nuclear Data Tables 140, 101440 (2021)

  • [40]

    I. Angeli and K. Marinova, Atom. Data. Nucl. Data. Tables 99, 69 (2013)

  • [41]

    Z. X. Liu et al., At. Data Nucl. Data Tables 156, 101635 (2024)

  • [42]

    L. Prokhorenkova, G. Gusev et al., Adv Neural Inf Process Syst. 31 (2018)

  • [43]

    B. So and E. A. Valdez, arXiv: 2406.16206

  • [44]

    J. H. Friedman, Ann. Stat. 29, 1189 (2001)

  • [45]

    T. Chen and C. Guestrin, XgBoost: A scalable tree boosting system, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA, 2016), pp. 785.

  • [46]

    G. Ke, Q. Meng et al., Adv. Neural Inf. Process 30 (2017)

  • [47]

    Y. Freund, R. E. Schapire, ICML. 96, 148 (1996)

  • [48]

    T. Akiba, S. Sano, et al.: A next-generation hyperparameter optimization framework, in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Anchorage, AK, USA, 2019)

  • [49]

    J. Bergstra, R. Bardenet, Y. Bengio et al. Algorithms for hyper-parameter optimization, in Proceedings of the 25th International Conference on Neural Information Processing Systems (Granada, Spain, 2011)

  • [50]

    S. M. Lundberg and S. I. Lee, A unified approach to interpreting model predictions, in Proceedings of the 31st International Conference on Neural Information Processing Systems , 2017, p. 4768

  • [51]

    Shapley, L. S., A value for n-person games.

  • [52]

    S. M. Lundberg, G. G. Erion, and S. I. Lee, arXiv: 1802.03888

  • [53]

    J. W. Tukey, Exploratory data analysis (New York: Springer, 1997)

  • [54]

    Y. Y. Cao, J. Y. Guo, and B. Zhou, Nucl. Sci. Tech. 34, 152 (2023)

  • [55]

    Y. Xu, S. Goriely, and A. Jorissen, Astron. Astrophys. 549, A106 (2013)