71 citations · 136 across the 8 of their papers we have counts for
6 papers · 1 filter
General-relativistic magnetar magnetospheres in 3D with physics-informed neural networks
Petros Stefanou, Arthur G. Suvorov, José A. Pons
Magnetar phenomena are likely intertwined with the location and structure of magnetospheric currents. General-relativistic effects are important in shaping the force-free equilibri…
Solving the Pulsar Equation using Physics-Informed Neural Networks
Petros Stefanou, Jorge F. Urbán, José A. Pons
In this study, Physics-Informed Neural Networks (PINNs) are skilfully applied to explore a diverse range of pulsar magneto-spheric models, specifically focusing on axisymmetric cas…
Modelling Force-Free Neutron Star Magnetospheres using Physics-Informed Neural Networks
Jorge F. Urbán, Petros Stefanou, Clara Dehman +1
Using Physics-Informed Neural Networks (PINNs) to solve a specific boundary value problem is becoming more popular as an alternative to traditional methods. However, depending on t…
Modelling 3D Force-Free Neutron Star Magnetospheres
Petros Stefanou, Jose A. Pons, Pablo Cerdá-Durán
Magnetars exhibit a variety of transient high-energy phenomena in the form of bursts, outbursts, and giant flares. It is a common belief that these events originate in the sudden r…
Hybrid Numerical Simulations of Pulsar Magnetospheres
Ioannis Contopoulos, Jerome Petri, Petros Stefanou
We continue our investigation of particle acceleration in the pulsar equatorial current sheet (ECS) that began with Contopoulos (2019) and Contopoulos & Stefanou (2019). Our basic…
A ring-of-fire in the pulsar magnetosphere
Ioannis Contopoulos, Petros Stefanou
Contopoulos 2019 proposed that a dissipation zone develops in the magnetosphere of young pulsars at the edge of the closed-line region beyond the light cylinder. This is necessary…