Preprint
Aug 2026
Learning Boson Star Solution Families with Physics-Informed Neural Networks
Computing boson star families traditionally requires repeated solution of nonlinear eigenvalue boundary-value problems and careful numerical continuation through turning points. We develop a physics-informed neural network (PINN) that learns the map from the physical parameters and radial coordinate directly to the sca...
Ao Liu, Chen-Hao Hao, Cui-Hong Wen et al.
· 1 citation