activity
20202026
most citedGraph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

physics.space-ph2026

Geoelectric Field Caused by Flux Transfer Events in an Ionosphere-Coupled Vlasiator Simulation

Konstantinos Horaites, Markku Alho, Yann Pfau-Kempf +10

We report on the relationship between flux transfer events (FTEs) at Earth's magnetopause and the geoelectric field that is induced near the FTEs' magnetic footpoints. We study thi…

physics.space-ph2026

Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations

Daniel Holmberg, Ivan Zaitsev, Markku Alho +5

Hybrid-Vlasov simulations resolve ion-kinetic effects in the solar wind-magnetosphere interaction, but even 5D (2D + 3V) configurations are computationally expensive. We show that…

physics.space-ph2025

Graph-based Neural Space Weather Forecasting

Daniel Holmberg, Ivan Zaitsev, Markku Alho +5

Accurate space weather forecasting is crucial for protecting our increasingly digital infrastructure. Hybrid-Vlasov models, like Vlasiator, offer physical realism beyond that of cu…

physics.plasm-ph2023★ 6 cited

Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications

Ioanna Bouri, Fanni Franssila, Markku Alho +4

Topological analysis of the magnetic field in simulated plasmas allows the study of various physical phenomena in a wide range of settings. One such application is magnetic reconne…

physics.space-ph2020

In situ evidence of firehose instability in multiple reconnection

Alexandra Alexandrova, Alessandro Retinò, Andrey Divin +7

Energy conversion via reconnecting current sheets is common in space and astrophysical plasmas. Frequently, current sheets disrupt at multiple reconnection sites, leading to the fo…