Stefaan Poedts

full professor

KU Leuven

Belgium

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Stefaan Poedts is a full professor at KU Leuven in Belgium. His research focuses on space weather, solar physics, and advanced modeling techniques, as evidenced by his recent publications on topics such as coronal modelling, gyrosynchrotron emission, and the prediction of radial magnetic fields using deep learning. He is actively contributing to the field with innovative approaches to understanding solar phenomena and their implications for space weather events.

Stefaan Poedts

Research Interests

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Articles (20)

The Power of a Name: Toward a Unified Approach to Naming Space Weather Events

Time-evolving coronal modelling of the solar maximum around the solar storms in May 2024 by COCONUT

Optimization of the FRi3D CME Model in EUHFORIA

FoMo white-light tool: Coupling with state-of-the-art numerical models

Modelling gyrosynchrotron emission from coronal energetic electrons in a CME flux rope

Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning

SIP-IFVM: A Time-evolving Coronal Model with an Extended Magnetic Field Decomposition Strategy

Density-gradient-driven drift-wave turbulence in the solar corona

Core‐Halo Correlations of Solar Wind Electrons and Temperature Anisotropy Instabilities

Extended Scenarios for Solar Radio Emissions With Downshifted Electron Beam Plasma Excitations

The impact of quantized magnetic pressure on the stimulated Brillouin scattering of electromagnetic waves

Impact of the Solar Activity on the Propagation of ICMEs: Simulations of Hydro, Magnetic and Median ICMEs at the Minimum and Maximum of Activity

Interplay between Anisotropy- and Skewness-driven Whistler Instabilities in the Solar Wind under the Core–Strahlo Model

Signatures of quantized magnetic field on the nonlinear Landau damping of transverse electromagnetic waves

Instability of Langmuir-beam waves: Kappa-distributed electrons

The East‐West Asymmetry of Particle Intensity in Energetic Storm Particle Events

Thermodynamic and Magnetic Topology Evolution of the X1.0 Flare on 2021 October 28 Simulated by a Data-driven Radiative Magnetohydrodynamic Model

Rayleigh-Taylor instability in an adiabatic-radiative rare plasma

On the Seed Population of Solar Energetic Particles in the Inner Heliosphere

COCONUT, a Novel Fast-converging MHD Model for Solar Corona Simulations. II. Assessing the Impact of the Input Magnetic Map on Space-weather Forecasting at Minimum of Activity

Collaborators (6)

Gang Li

Michaela Brchnelova

Nicolas Wijsen

Brigitte Schmieder

Rachael Filwett

Marian Lazar

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