4 citations · 7 across the 5 of their papers we have counts for
Showing gr-qcShow all
2 papers · 1 filter
gr-qc2026
Kerr Quasinormal Modes without Variable Separation: A Two-Dimensional Hyperboloidal Teukolsky Solver with Physics-Informed Neural Networks
Antonio Ferrer-Sánchez, Daniela D. Doneva, José D. Martín-Guerrero +4
We use physics-informed neural networks (PINNs) to solve the gravitational quasinormal-mode (QNM) eigenvalue problem for Kerr spacetime directly in the two-dimensional hyperboloida…
gr-qc2025★ 1 cited
Addressing the gravitational collapse of a massless scalar field with Physics-Informed Neural Networks
Antonio Ferrer-Sánchez, Nino Villanueva-Espinosa, Carlos Hernani Morales +4
The gravitational collapse of a massless scalar field remains a demanding benchmark for numerical methods in numerical relativity, as it exhibits critical behavior at the boundary…