Publications

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AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload.

Authors: Jonah Ekelund, Ricardo Vinuesa, Yuri Khotyaintsev, Pierre Henri, Gian Luca Delzanno and Stefano Markidis. 

Conference: eScience 2024

Accessible: https://doi.org/10.48550/arXiv.2406.14297

A study of the transition to a turbulent shock using a coarse-graining approach to ion phase-space transport.

Authors: D. Trotta, F. Valentini, D. Burgess and S. Servidio

Journal: Monthly Notices of the Royal Astronomical Society, 2025 

Accessible: https://doi.org/10.1093/mnras/stae2750 

Analysis of electron distribution functions from the magnetospheric multiscale (MMS) mission using the Gaussian mixture model.

Authors: B. Sanò,  N. N. Maes Anno, D. L.  Newman, M. Goldman, F. Valentini, D. Perrone, and G. Lapenta

Journal: Journal of Geophysical Research: Machine Learning and Computation, 2025 

Accessible: https://doi.org/10.1029/2024JH000233

Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression

Authors: Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng

Conference: ICCS 2025

Accessible: https://doi.org/10.48550/arXiv.2504.18461

Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions.

Authors: Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis

Conference: ICCS 2025

Accessible: https://doi.org/10.48550/arXiv.2504.15846