Project Grant 2504860

Award Date 7/1/25
Completion Date 6/30/28
Dollars Obligated $200K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Newark, NJ 07102, USA
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The key products and services being delivered through this grant include:

  • Developing a homogenized dataset of vector magnetograms, open-access computational tools, and machine learning models to process vector magnetograms, time series, and derived metadata parameters
  • Applying generative AI techniques, such as a physics-infused conditional diffusion model, to enhance historical datasets by filling spatial and temporal resolution gaps
  • Using multimodal machine learning and explainability techniques to improve the current state-of-the-art space weather prediction methods
  • Building a cyberinfrastructure that integrates scalable generative AI and multimodal learning frameworks to optimize forecasts of solar flares, coronal mass ejections, and solar energetic particle events

This project is expected to run from July 1, 2025 to June 30, 2028 and is being led by the New Jersey Institute of Technology (NJIT), a well-established academic research institution with a strong track record of securing federal grant and contract awards across various scientific and engineering domains.

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