This $558,790 Project Grant award from the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences supports a study on the spatio-temporal variability of solar energetic particles (SEPs) in the inner heliosphere. The University of New Hampshire (UNH) is the prime awardee, leading the project to gain better insights on SEP characteristics, including intensity, flux, and evolution. The project will leverage data from NASA's Parker Solar Probe and Solar Orbiter, along with...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $109,930 to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. Key objectives include: Applying generative AI techniques, such as a physics-infused conditional diffusion model, to enhance historical solar...
This Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $550,926 to the New Jersey Institute of Technology to develop deep learning tools and models for understanding solar flare initiations. Over a three-year period from September 2022 to August 2025, the awardee will train graduate students and high school interns while undertaking five interrelated tasks. These include creating...
This Project Grant award for $290,285, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The key products and services to be delivered include: A homogenized dataset of vector magnetograms and open-access computational tools to process...
This $199,534 Project Grant was awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the New Jersey Institute of Technology (NJIT) effective July 1, 2025 through June 30, 2028. The grant aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events, such as solar flares, coronal mass ejections, and solar...
This Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $437,703 to Utah State University to advance interdisciplinary research connecting heliophysics and computer science. The award supports the development of novel graph neural network models to leverage time series similarities of photospheric vector magnetic field parameters for improved solar flare prediction. Researchers will...
This $314,692 National Science Foundation award under the Geosciences program (CFDA 47.050) will fund collaborative research between Rutgers University, New Jersey Institute of Technology, West Virginia University, and Montclair State University to develop machine learning tools and models for predicting geoeffective solar eruptions, geomagnetic indices, and thermospheric density fluctuations. Key products and services include synthesizing vector magnetograms from ground- and space-based solar...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $400,000 to Anderson University to support the research project "EMBRACE-AGS-GROWTH: Modeling Space Weather as a Nonlinear Control System". The project aims to improve the understanding and forecasting of geomagnetic storms - significant disturbances in Earth's magnetic field caused by solar activity - which can disrupt critical technologies like power grids, satellite...
This Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), will develop a generative AI framework called "SolarDM" to characterize solar active regions and predict solar eruptions. The key products and services to be delivered include: Generation of chromospheric vector magnetograms by combining data from various solar observation instruments. Creation of a consistent, high-resolution, high-cadence time series of photospheric vector...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a $582,399 research project by the Southwest Research Institute (SwRI) to investigate the origins of "active longitudes" on the Sun's surface and their connection to the solar dynamo and coronal mass ejections. The 3-year project will utilize 3D magnetohydrodynamic simulations and 17 years of observational data from the National Solar Observatory's Global Oscillation Network...