Speaker
Description
A major goal of nuclear theory is to explain the structure and properties of atomic nuclei in an ab initio approach starting from nuclear forces fixed in free-space scattering. Apart from the two nucleon forces, the three-body forces are also important in describing systems from light nuclei to nuclear matter. However, an accurate and simultaneous ab initio prediction for both light nuclei and nuclear matter has been a long- standing challenge in nuclear physics, due to the significant uncertainties associated with the three-nucleon forces.
In a series of recent works, we have developed a deep-learning-based ab initio framework, FeynmanNet, which achieves high variational accuracy with polynomial scaling in the nucleon number. In particular, it demonstrates that both light nuclei and nuclear matter can be well described simultaneously in the relativistic ab initio calculations, even in the absence of three-nucleon forces, and a correlation between the properties of light nuclei and the nuclear saturation is revealed.
References:
[1] Y. L. Yang and P. W. Zhao, Phys. Lett. B 835, 137587 (2022).
[2] Y. L. Yang and P. W. Zhao, Phys. Rev. C 107, 034320 (2023).
[3] Y. L. Yang and P. W. Zhao, Phys. Rev. Lett. 134, 242502 (2025).
[4] Y. L. Yang and P. W. Zhao, Chin. Phys. Lett. 42, 051201 (2025).
[5] Y. L. Yang, E. Epelbaum, J. Meng, L. Meng, and P. W. Zhao, Phys. Rev. Lett. 135, 172502 (2025)