Speaker
Georgios Karydianakis
(National and Kapodistrian University of Athens, Academy of Athens)
Description
Physics Informed Neural Networks have recently begun to be employed for the study of compact objects' magnetospheres. Known for their flexibility and ability to handle non linear equations, these new methods prove themselves to be potentially more efficient than traditional numerical techniques. Their feats include the ability to smoothly cross multiple critical surfaces, unlike most conventional solvers. The talk aims to present some of the most recent developments in the field, namely in the study of steady-state, General Relativistic Force-Free Electrodynamics governed systems around astrophysical black holes.
Authors
Georgios Karydianakis
(National and Kapodistrian University of Athens, Academy of Athens)
IOANNIS CONTOPOULOS
(RCAAM, Academy of Athens)
Mr
Spyros Rigas
(National and Kapodistrian University of Athens, Academy of Athens)