2 papers
nucl-th2026
Interpretable hybrid nuclear mass prediction based on term-by-term model discrepancies
Weihu Ye, Niu Wan
Various theoretical mass models have consistently achieved impressive accuracy in reproducing experimental masses. However, their predictions in unmeasured neutron-rich regions exh…
nucl-th2025
Simultaneous improvements of nuclear mass and charge radius predictions using multi-task Gaussian process approaches
Weihu Ye, Niu Wan
A multi-task Gaussian process (GP) machine learning model is introduced to simultaneously predict two important nuclear observables across the nuclear chart, namely nuclear masses…