2 papers
gr-qc2024
Solving the Regge-Wheeler and Teukolsky equations: supervised versus unsupervised physics-informed neural networks
Alan S. Cornell, Sheldon R. Herbst, Anele M. Ncube +1
To expand on the burgeoning research on physics-informed neural networks (PINNs) and their ability to solve the eigenvalue problems in black hole (BH) perturbation theory, we imple…
gr-qc2023
Reissner-Nordström black holes in de Sitter space-time: bounds with quasinormal frequencies
Anna Chrysostomou, Alan S. Cornell, Aldo Deandrea +2
Rich physics can be divined from charged black holes subjected to extremal conditions. When applied in conjunction with principles like Weak Cosmic Censorship, this naturally leads…