activity
20192025
most citedUnveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?

71 citations · 136 across the 8 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

astro-ph.HE2023★ 12 cited

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…

astro-ph.HE2023★ 17 cited

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…