NSF award 2501486 · Utah State University

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

Final report due

28 June 2029

in 984 days · The award ends on 28 February 2029.

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Final report due28 Jun 2029in 984 days
award ending 2029-02-28 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jun 2029in 984 days
award ending 2029-02-28 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jun 2029in 984 days
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So the final report is due by 28 June 2029.

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Award card

Award number: 2501486
Period of support: 15 Mar 2026 – 28 Feb 2029
Amount: $580,185
Awardee: Utah State University, Logan, UT
Program: SOLAR-TERRESTRIAL
Directorate: GEO

Abstract

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 two solar cycles to improve identification of patterns that precede…

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