杨祖星，理学博士，副教授。2016年毕业于西北大学物理学基地班，获学士学位。2021年博士毕业于中国科学院近代物理研究所，获得中国科学院大学博士学位。2021年9月-2025年1月在日本理化学研究所从事博士后科研工作。

主要从事机器学习在重离子碰撞、原子核密度泛函模型方向的应用研究。学术方向包括：1.基于神经网络的学习-校准方案的能量密度泛函模型研究；2.利用神经网络探索中高能重离子碰撞的反应机制。在Physics Letters B、Physical Review C等国际期刊发表学术论文16篇，其中11篇为一作/通讯。相关研究被评为RIKEN的Research Highlight工作。

学术论文：

1. Zu-Xing Yang, X.-H. Fan, Z.-P. Li, and H. Liang, “Data-driven density functional model for atomic nuclei”, Phys. Rev. C 109, 064312 (2024);

2. Zu-Xing Yang, X.-H. Fan, Z.-P. Li, Shunji Nishimura, “A neural network approach for orienting heavy-ion collision events” Phys. Lett. B 848, 138359 (2023); ( 被评为日本理化学研究所 Research Highlight 工作)

3. Zu-Xing Yang, X.-H. Fan, Tomoya Naito, Z.-M. Niu, Z. Li, H. Liang, “Calibration of nuclear charge density distribution by back-propagation neural networks”, Phys. Rev. C 108, 034315 (2023);

4. Zu-Xing Yang, X.-H. Fan, Z.-P. Li, H. Liang, "A Kohn-Sham scheme based neural network for nuclear systems" Phys. Lett. B 840, 137870 (2023);

5. X.-H. Fan, Zu-Xing Yang*, P.-H. Chen, Shunji Nishimura, Z.-P. Li, “Impact of quadrupole deformation on intermediate-energy heavy-ion collisions”, Phys. Rev. C 108, 034607 (2023);

6. X.-H. Fan, Zu-Xing Yang*, P. Y., P.-H. Chen, J.-M. Dong, Z.-P. Li, H. Liang, “A local-density-approximation description of high-momentum tails in isospin asymmetric nuclei”, Phys. Lett. B 834,137482 (2022);

7. Zu-Xing Yang, X.-H. Fan, P. Yin, W. Zuo, “Taming nucleon density distributions with deep neural network”, Phys. Lett. B 823,136650 (2021);

8. Zu-Xing Yang, Nicolas Michel, X.-H. Fan, W. Zuo, “Initialization effects of nucleon profile on the π yields in heavy-ion collisions at medium energies”, J. Phys. G: Nucl. Part. Phys. 48 105105 (2021);

9. Zu-Xing Yang, X. L. Shang, G. C. Yong, W. Zuo, and Y. Gao, “Nucleon momentum distributions in asymmetric nuclear matter”, Phys. Rev. C 100, 054325 (2019);

10. Zu-Xing Yang, X.-H. Fan, G.-C. Yong, and W. Zuo, “Effects of the initialization of nucleon momentum in heavy-ion collisions at medium energies”, Phys. Rev. C 98, 014623 (2018);

11. G. H. Yang, Y. Kuang, Zu-Xing Yang* and Z. P. Li*, "Extracting neutron skin from elastic proton-nucleus scattering with deep neural network" Physics Letters B 862,139301(2025);

12. G. Chang, P. Chen, F. Niu, Zu-Xing Yang, X.-H. Zeng, Z.-Q. Feng, “Assessing the impact of nuclear mass models on the prediction of synthesis cross sections for superheavy elements”, Phys. Rev. C 109, 054611 (2024);

13. Ik Jae Shin, Nadezda A. Smirnova, Andrey M. Shirokov, Zu-Xing Yang, Bruce R. Barrett, Zhen Li, Youngman Kim, Pieter Maris, and James P. Vary, “Improving the 𝑠𝑑-shell effective interaction obtained from the Daejeon16 nucleon-nucleon interaction”, Phys. Rev. C 110, 034306 (2024)；

14. Penghui Chen, Chang Geng, Zu-Xing Yang, Xiang-Hua Zeng, Zhaoqing Feng, “Production of neutron-rich actinide isotopes in isobaric collisions via multinucleon transfer reactions”, Nucl. Sci. Tech. 34, 160 (2023);

15. Peng-Hui Chen, Hao Wu, Zu-Xing Yang, Xiang-Hua Zeng, Zhao-Qing Feng, “Prediction of synthesis cross sections of new moscovium isotopes in fusion-evaporation reactions”, Nucl. Sci. Tech. 34, 7 (2023);

16. Peng-Hui Chen, Fei Niu, Xin-Xing Xu, Zu-Xing Yang, Xiang-Hua Zeng, and Zhao-Qing Feng, “Rare isotope formation in complete fusion and multinucleon transfer reactions in collisions of 48Ca+248Cm near Coulomb barrier energies”, Phys. Rev. C 105, 034610 (2022).