11 citations · 11 across the 5 of their papers we have counts for
5 papers
Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections
M. Rempel, Y. Fan, M. Dikpati +7
Modeling of transient events in the solar atmosphere requires the confluence of 3 critical elements: (1) model sophistication, (2) data availability, and (3) data assimilation. Thi…
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050
R. M. McGranaghan, B. Thompson, E. Camporeale +14
Three main points: 1. Data Science (DS) will be increasingly important to heliophysics; 2. Methods of heliophysics science discovery will continually evolve, requiring the use of l…
Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Dealing with the Sparse Data Challenge
M. I. Sitnov, G. K. Stephens, V. G. Merkin +8
In the Earth's magnetosphere, there are fewer than a dozen dedicated probes beyond low-Earth orbit making in-situ observations at any given time. As a result, we poorly understand…
Snowmass Computational Frontier: Topical Group Report on Experimental Algorithm Parallelization
G. Cerati, K. Heitmann, W. Hopkins +10
The substantial increase in data volume and complexity expected from future experiments will require significant investment to prepare experimental algorithms. These algorithms inc…
Discovery of Nine Super Li-rich Unevolved Stars from the LAMOST Survey
T. -S. Yan, J. -R. Shi, L. Wang +7
Based on the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) medium-resolution spectroscopic survey (MRS), we report the discovery of nine super Li-rich unevolve…