EarthCube Data Capabilities

Machine Learning Enhanced Cyberinfrastructure for Understanding and Predicting the Onset of Solar Eruptions

Publications

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.  
Abduallah, Y., Jordanova, V. K., Liu, H., Li, Q., Wang, J. T. L., Wang, H., ApJS., 260:16, 2022.

Tracing Hα Fibrils through Bayesian Deep Learning.  
Jiang, H., Jing, J., Wang, J., Liu, C., Li, Q., Xu, Y., Wang, J. T. L., Wang, H., ApJS., 256:20, 2021.

An Investigation of the Causal Relationship between Sunspot Groups and Coronal Mass Ejections by Determining Source Active Regions.  
Raheem, A., Cavus, H., Coban, G. C., Kinaci, A. C., Wang, H., Wang, J. T. L., Monthly Notices of the Royal Astronomical Society, 506(2):1916-1926,  2021.

DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction.  
Abduallah, Y., Wang, J. T. L., Nie, Y., Liu, C., Wang, H., Research in Astronomy and Astrophysics, 21:160, 2021.

Machine-learning Approach to Identification of Coronal Holes in Solar Disk Images and Synoptic Maps. 
Illarionov, E., Kosovichev, A., Tlatov, A., ApJ., 903:115, 2020.

High-resolution Observations of Small-scale Flux Emergence by GST. 
Wang, J., Liu, C., Cao, W., Wang, H., ApJ., 900:84, 2020.

Magnetic Reconnection during the Post-impulsive Phase of a Long-duration Solar Flare: Bidirectional Outflows as a Cause of Microwave and X-Ray Bursts. 
Yu, S., Chen, B., Reeves, K. K., Gary, D. E., Musset, S., Fleishman, G. D., Nita, G. M., Glesener, L., ApJ., 900:17, 2020.

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. 
Jiang, H., Wang, J., Liu, C., Jing, J., Liu, H., Wang, J. T. L., Wang, H., ApJS., 250:5, 2020.

A New Comprehensive Data Set of Solar Filaments of 100 yr Interval. I. 
Lin, G., Zhu, G., Yang, X., Song, Y., Zhang, M., Liu, S., Wang, X., Su, J., Zheng, S., Zhang, J., Tao, D., Zeng, S., Wang, H., Liu, C., Xu, Y., ApJS., 249:11, 2020.

An Eruptive Circular-ribbon Flare with Extended Remote Brightenings. 
Liu, C., Prasad, A., Lee, J., Wang, H., ApJ., 899:34, 2020.

Comparison of Enhanced Absorption in He I 10830 A in Observations and Modeling during the Early Phase of a Solar Flare. 
Huang, N., Sadykov, V. M., Xu, Y., Jing, J., Wang, H., ApJL., 897:L6, 2020.

Measurement of Magnetic Field and Relativistic Electrons Along a Solar Flare Current Sheet. 
Chen, B., Shen, C., Gary, D. E., Reeves, K. K., Fleishman, G. D., Yu, S., Guo, F., Krucker, S., Lin, J., Nita, G. M., Kong, X., Nature Astronomy, 2020.

Estimation of Key Sunquake Parameters through Hydrodynamic Modeling and Cross-correlation Analysis. 
Stefan, J. T., Kosovichev, A. G., ApJ., 895:65, 2020.

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. 
Liu, H., Xu, Y., Wang, J., Jing, J., Liu, C., Wang, J. T. L., Wang, H., ApJ., 894:70, 2020.

Evolution of Flare-accelerated Electrons Quantified by Spatially Resolved Analysis. 
Kuroda, N., Fleishman, G. D., Gary, D. E., Nita, G. M., Chen, B., Yu, S., Frontiers in Astronomy and Space Sciences, 7:22, 2020.

Heating and Eruption of a Solar Circular-ribbon Flare. 
Lee, J., Karpen, J. T., Liu, C., Wang, H., ApJ., 893:158, 2020.

Response of SDO/HMI Observables to Heating of the Solar Atmosphere by Precipitating High-energy Electrons. 
Sadykov, V. M., Kosovichev, A. G., Kitiashvili, I. N., Kerr, G. S., ApJ., 893:24, 2020.

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. 
Liu, H., Liu, C., Wang, J. T. L., Wang, H., ApJ., 890:12, 2020.

Decay of the Coronal Magnetic Field Can Release Sufficient Energy to Power a Solar Flare. 
Fleishman, G. D., Gary, D. E., Chen, B., Kuroda, N., Yu, S., Nita, G. M., Science, 367(6475):278-280, 2020.

3D MHD Modeling of the Impact of Subsurface Stratification on the Solar Dynamo. 
Stejko, A. M., Guerrero, G., Kosovichev, A. G., Smolarkiewicz, P. K., ApJ., 888:16, 2020.

The Eruption of Outer Spine-like Loops Leading to a Double-stage Circular-ribbon Flare. 
Liu, C., Lee, J., Wang, H., ApJ., 883:47, 2019.

High-resolution Observations of Dynamics of Superpenumbral Hα Fibrils. 
Jing, J., Li, Q., Liu, C., Lee, J., Xu, Y., Cao, W., Wang, H., ApJ., 880:143, 2019.

Spectral Diagnosis of Mg II and Hα Lines during the Initial Stage of an M6.5 Solar Flare. 
Huang, N., Xu, Y., Sadykov, V. M., Jing, J., Wang, H., ApJ. Letters, 878:L15, 2019.

Predicting Solar Flares Using a Long Short-term Memory Network. 
Liu, H., Liu, C., Wang, J. T. L., Wang, H., ApJ., 877:121, 2019.