17 citations · 32 across the 6 of their papers we have counts for
3 papers · 1 filter
Analyzing the effect of higher dimensions on the black hole silhouette, deflection angles, and PINN approximated quasinormal modes
Nikko John Leo S. Lobos, Anele M. Ncube, Reggie C. Pantig +1
This study investigates the effects of higher dimensions on the observable properties of Schwarzschild-Tangherlini black holes, focusing on the photonsphere, shadow radius, deflect…
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…
Investigating a New Approach to Quasinormal Modes: Physics-Informed Neural Networks
Anele M Ncube, Gerhard E Harmsen, Alan S Cornell
Physics-informed neural networks (PINNs) hold the potential for supplementing the existing set of techniques for solving differential equations that emerge in the study of black ho…