18 citations · 25 across the 3 of their papers we have counts for
3 papers
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
Identifying Flux Rope Signatures Using a Deep Neural Network
Luiz F. G. dos Santos, Ayris Narock, Teresa Nieves-Chinchilla +2
Among the current challenges in Space Weather, one of the main ones is to forecast the internal magnetic configuration within Interplanetary Coronal Mass Ejections (ICMEs). Current…
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
Valentina Salvatelli, Souvik Bose, Brad Neuberg +6
Understanding and monitoring the complex and dynamic processes of the Sun is important for a number of human activities on Earth and in space. For this reason, NASA's Solar Dynamic…