Data-driven MURaM simulations of emerging active region 11640 reproduce key EUV features and find volumetric coronal heating proportional to B squared along with ubiquitous MHD waves.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Hybrid neural network predicts eruptive versus confined solar flares from SDO/HMI magnetogram sequences, reports good performance, and links results to magnetic flux cancellation in polarity inversion lines.
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Data-driven Radiative Magnetohydrodynamics Simulations with the MURaM Code: Coronal Heating and Dynamics in an Emerging Active Region
Data-driven MURaM simulations of emerging active region 11640 reproduce key EUV features and find volumetric coronal heating proportional to B squared along with ubiquitous MHD waves.
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Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network
Hybrid neural network predicts eruptive versus confined solar flares from SDO/HMI magnetogram sequences, reports good performance, and links results to magnetic flux cancellation in polarity inversion lines.