315 citations · 3.5k across the 66 of their papers we have counts for
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High-resolution Observations of Small-scale Flux Emergence by GST
Jiasheng Wang, Chang Liu, Wenda Cao +1
Recent observations demonstrated that emerging flux regions, which constitute the early stage of solar active regions, consist of emergence of numerous small-scale magnetic element…
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction
Yasser Abduallah, Jason T. L. Wang, Yang Nie +2
Solar flare prediction plays an important role in understanding and forecasting space weather. The main goal of the Helioseismic and Magnetic Imager (HMI), one of the instruments o…
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
Haodi Jiang, Jiasheng Wang, Chang Liu +4
Deep learning has drawn a lot of interest in recent years due to its effectiveness in processing big and complex observational data gathered from diverse instruments. Here we propo…
Heating and Eruption of a Solar Circular Ribbon Flare
Jeongwoo Lee, Judith T. Karpen, Chang Liu +1
We studied a circular-ribbon flare, SOL2014-12-17T04:51, with emphasis on its thermal evolution as determined by the Differential Emission Measure (DEM) inversion analysis of the e…
An Eruptive Circular-ribbon Flare with Extended Remote Brightenings
Chang Liu, Avijeet Prasad, Jeongwoo Lee +1
We study an eruptive X1.1 circular-ribbon flare on 2013 November 10, combining multiwavelength observations with a coronal field reconstruction using a non-force-free field method.…
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…