CEDAR email: Call for Abstracts AGU26 Session SM002: Artificial Intelligence (AI) Approaches for Scientific Discovery in Solar Wind-Earth Interactions

[chu xiangning]

Dear Colleagues,
We invite you to submit your AGU26 abstracts to Session SM002: Artificial
Intelligence (AI) Approaches for Scientific Discovery in Solar Wind-Earth
Interactions.
Session details: https://agu.confex.com/agu/agu26/prelim.cgi/Session/281203
We are looking forward to your submissions.
Abstract Submission Deadline: 5 August 2026 (23:59 EDT / 03:59 UTC).
Best Regards,
Xiangning Chu, Hyunju Connor, Sai Gowtam Valluri, Bashi Ferdousi, and Matt
Argall

————Session Abstract————
This session highlights the growing role of artificial intelligence (AI) in
advancing scientific discovery within the heliophysics community. We focus
on recent progress in AI methodologies that enable new insights and
complement traditional research approaches. Contributions are invited that
apply AI across heliophysical domains, including the solar wind,
magnetosphere, ionosphere, thermosphere, and mesosphere.
We encourage studies that integrate AI techniques, such as data-driven deep
learning, interpretable machine-learning, physics-informed neural networks
(PINNs), and PDE-based approaches, with established methods, including
theory, first-principles simulations, empirical modeling, and statistical
analyses. Such integrative approaches are essential for improving our
understanding of complex Sun-Earth system dynamics.
This session is organized in collaboration with the ML-based Geospace
Environment Modeling (GEM) resource group, which focuses on advancing
data-driven heliophysics modeling. Our goal is to bring together current
AI-driven efforts and promote collaboration across the heliophysics
community to accelerate progress in understanding solar wind-Earth
interactions.
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