Project Grant 2301397
- 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 $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 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...
- Utah State University will receive $527,129 from the National Science Foundation under the Geosciences federal grant program (CFDA 47.050) for a project grant titled "COMBINING PHYSICS AND MACHINE LEARNING-BASED MODELS FOR FULL-ENERGY-RANGE SOLAR ENERGETIC PARTICLES EVENTS PREDICTION." From July 1, 2022 to June 30, 2025, the university will develop new models to predict solar energetic particle events using physics-based and machine learning approaches. Key products and services...
- 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 three-year Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $144,535 to the University of Wisconsin System to conduct collaborative research on coronal magnetic structure and solar flares/coronal mass ejections. The research team will employ Gauss's separation method and nonlinear force-free field extrapolations to analyze photospheric vector magnetograms of solar active...
- The National Science Foundation (NSF) awarded a $202,000 project grant under the Geosciences program (CFDA 47.050) to advance the field of heliophysics through automated machine learning and open-source integration. The project aims to develop an automated, open-source pipeline that leverages advanced computer vision techniques to enhance the detection, segmentation, classification, and extraction of physical parameters from solar images captured by NASA's Solar Dynamics Observatory. Key...
- This $749,989 Project Grant was awarded on January 1, 2026 by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) to Utah State University (USU). The project aims to address a key limitation in space weather forecasting by generating realistic synthetic data representing Solar Energetic Particle (SEP) events across multiple observational sources. This will enable the development of more accurate and generalizable AI-based forecasting models to safeguard space operations and...
- 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 $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 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 transform multivariate time series data of solar active regions into parameter graphs and apply unsupervised clustering algorithms to find magnetically homogeneous temporal segments. Features extracted from these graphs will be used to distinguish multiple flare classes and support prediction. The work is centered on understanding important magnetic field parameters and their time series similarities for flare prediction. The funding also supports an early-career faculty member and encourages underrepresented minority and rural student participation in space weather research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $437.7k | 2/8/23 |