Project Grant 2228996
Award Date
9/1/22
Completion Date
8/31/25
Dollars Obligated
$551K
Federal Agency
Division of Atmospheric and Geospace Sciences
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Newark, NJ 07102, USA
Similar Awards
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $705,296.00 to the New Jersey Institute of Technology to analyze data from radio and X-ray telescopes to study the dynamics of the coronal magnetic field and nonthermal electrons in solar flares. The project will use sophisticated 3D modeling and visualization tools to quantify the movement, acceleration, heating, and magnetic properties of particles near solar flares. The computational...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $295,673 to the New Jersey Institute of Technology (NJIT) to conduct collaborative research on understanding the heating mechanisms of the solar flare atmosphere. The project aims to elucidate the temporal, spatial, and magnetic structures of "elementary bursts" which are the basic units of solar flare energy release. To achieve this, the research will leverage high-cadence,...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) grant award provides $593,864 to the New Jersey Institute of Technology (NJIT) from September 2024 to August 2027. The project will develop an AI-driven framework called SolarDM to generate high-resolution, high-cadence vector magnetograms of the solar chromosphere and photosphere. These AI-generated products will provide valuable data on the Sun's magnetic field to significantly advance the understanding and prediction...
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 $305,598 Project Grant from the National Science Foundation Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund collaborative research between the New Jersey Institute of Technology and the University of Alabama, Huntsville to study solar flare-producing active regions. The researchers will leverage high-resolution observations from the Daniel K. Inouye Solar Telescope and other ground-based and space-based telescopes, along...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award totaling $172,015 will support collaborative research led by the New Jersey Institute of Technology (NJIT) to investigate the role of supra-arcade downflows (SADs) in energy transfer during solar flares. The research aims to obtain a more comprehensive understanding of energy release in the above-the-loop-top (ALT) regions of solar flares, which are critical to comprehending these highly energetic...
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 $137,356 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to advance the understanding of solar flare physics. The award, effective September 1, 2024 through August 31, 2027, will fund collaborative research to characterize the energy release and heating mechanisms during solar flares. The project will combine numerical modeling with analysis of high-resolution observational data from the Daniel K. Inouye Solar...
This Project Grant award of $100,000.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) is focused on developing an automated, open-source pipeline that leverages advanced computer vision and machine learning techniques to enhance the analysis of solar imaging data from NASA's Solar Dynamics Observatory. The key objectives of this 2-year project, which runs from February 2025 to January 2027, are to: 1) construct ML-ready datasets through automated data processing, 2)...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,534 to the New Jersey Institute of Technology (NJIT) from July 1, 2025 to June 30, 2028. The project 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...