grant

SHINE: Multimodal Machine Learning Approaches for Solar Energetic Particles Events Prediction and Posthoc Analysis

Organization Utah State UniversityLocation LOGAN, United StatesPosted 15 Mar 2026Deadline 28 Feb 2029
NSFUS FederalResearch GrantScience FoundationUT
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Solar Energetic Particle (SEP) events are bursts of high-energy particles from the Sun that can disrupt satellites, navigation systems, and human spaceflight. Predicting these events remains challenging because they are rare and driven by complex solar activity. This project will apply machine-learning methods to space-based observations spanning…

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SHINE: Multimodal Machine Learning Approaches for Solar Energetic Particles Events Prediction and Posthoc Analysis — Uta | Dev Procure