2 papers
nucl-th2026
Physics Informed Bayesian Machine Learning of Sparse and Imperfect Nuclear Data
Jiaming Liu, Yang Su, N. C. Shu +2
The prevailing data-driven machine learning has been plagued by the absence of physics knowledge and the scarcity of data. We implement the physics-model informed prior into Bayesi…
nucl-th2025
Fourier shape parametrization in covariant density functional theory for nuclear fission
Zeyu Li, Yang Su, Lile Liu +2
We implement the Fourier shape parametrization within the point-coupling covariant density functional theory to construct the collective space, potential energy surface (PES), and…