Project Grant 2204363
- 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 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...
- 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 National Science Foundation Division of Atmospheric and Geospace Sciences award, under the Geosciences program (CFDA 47.050), provides $488,953 to Montana State University from September 1, 2023 to August 31, 2026. Through this Project Grant, undergraduate students majoring in physics or related fields will conduct research in solar astrophysics and space physics with faculty and graduate students at Montana State University. The research aims to improve understanding of the physical...
- The National Science Foundation (NSF) awarded a $462,224 Project Grant to the Catholic University of America (CUA) under the Geosciences (CFDA 47.050) program. The grant, effective July 1, 2025 through June 30, 2028, aims to advance scientific understanding of the interactions between the solar wind and the Earth's magnetosphere, which drive space weather that can disrupt critical infrastructure. The project will combine spacecraft observations, advanced simulations, and machine learning to...
- 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...
- The National Science Foundation (NSF) awarded a $132,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Brigham Young University (BYU) to develop new methods for accurately modeling and forecasting complex physical systems like weather, ocean currents, and groundwater flow. The project aims to augment existing physics-based models with machine learning techniques to capture physical phenomena more accurately while maintaining scientific...
- This $348,127 National Science Foundation (NSF) award under the Geosciences program (CFDA 47.050) supports collaborative research to develop new physics-informed machine learning and stochastic modeling techniques for improving magnetohydrodynamics (MHD) simulations of the interaction between the solar wind and Earth's magnetosphere. The University of California, Los Angeles (UCLA) will lead this 3-year project, which aims to enhance the performance of global magnetosphere MHD models used for...
- 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 include engineering new predictive features from image and trajectory data of solar active regions and prominences, generating synthetic solar event data to augment existing catalogs, and building an ensemble model combining various modeling techniques for full-energy solar particle prediction. Research results will be made available through the Community Coordinated Modeling Center and public repositories. Outreach and education efforts are also part of the award.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $527.1k | 3/10/22 |