The Deep Learning-Based Dual-Branch Multimodal Fusion Model for Solar Flare Prediction

Zhao Limin; Chen Xingyao; Zhu Xiaoshuai; Zhao Dong; Yan Yihua

doi:https://doi.org/10.5194/egusphere-egu26-16741

[Back] [Session ESSI1.18]

EGU26-16741, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-16741

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

The Deep Learning-Based Dual-Branch Multimodal Fusion Model for Solar Flare Prediction

Zhao Limin^1,2, Chen Xingyao², Zhu Xiaoshuai², Zhao Dong², and Yan Yihua^1,2,3

Zhao Limin et al.

¹Beihang University, School of Space and Earth Sciences
²State Key Laboratory of Solar Activity and Space Weather, National Space Science Center, Chinese Academy of Sciences
³School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

How to cite: Limin, Z., Xingyao, C., Xiaoshuai, Z., Dong, Z., and Yihua, Y.: The Deep Learning-Based Dual-Branch Multimodal Fusion Model for Solar Flare Prediction, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16741, https://doi.org/10.5194/egusphere-egu26-16741, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.