Project Grant 2510494
- This National Science Foundation project grant of $167,505 will fund research on data assimilation techniques for turbulent fluid flows from July 2022 to June 2025 at the University of Nebraska-Lincoln. Under the Mathematical and Physical Sciences program (CFDA 47.049), the grant supports the development and testing of new algorithms to incorporate observational data into mathematical models of complex multi-scale phenomena like weather, ocean dynamics, and groundwater flow. Specifically, the...
- 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 $149,999 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research into techniques for identifying hidden or unknown components in nonlinear differential equation models. The research aims to improve modeling and predictive capabilities for complex physical phenomena, such as fluid flows, turbulence, and weather prediction. The award to the Research Foundation of the City University of New York will provide...
- This $240,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research to develop a new modeling framework that integrates data-driven insights with physical laws, enabling more accurate and consistent spatial predictions. The key objectives are to: (1) establish a theoretical foundation for these hybrid models, (2) implement inference and spatial interpolation using finite element methods and basis...
- This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Geosciences program (CFDA 47.050) to the University of Illinois. The project aims to develop and introduce a novel, equation-based modeling workflow to the geosciences community. This system separates the model design (the equations) from the model implementation (the computer code), allowing geoscientists to focus on building equation systems that represent their areas of expertise. The project consists of three...
- This $399,583 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research to develop numerical algorithms that can estimate solutions to partial differential equations (PDEs) without full boundary condition information. The research aims to enable improved modeling and forecasting capabilities across various applications, including meteorology, biology, and engineering design. The primary awardee, Texas...
- This $550,000 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) will support the development of data-driven physics-informed machine learning models to predict flood-induced flow and sediment dynamics. Over a four-year period ending June 2027, the grantee will improve existing high-fidelity numerical modeling tools and apply them to evaluate flood impacts on infrastructure stability in large waterways. They will then use simulation results to inform and...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award in the amount of $353,715 will fund a collaborative research project to study the turbulence in the stratified layer at the air-water interface, as driven by waves and wind. The project will utilize a combination of controlled laboratory experiments and advanced numerical simulations (large-eddy simulations) to test the hypothesis that coupling between waves and wind-driven currents is necessary to...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research aimed at advancing the mathematical analysis of nonlinear partial differential equations. The research has three main focus areas: (1) studying fluid dynamics problems with free boundaries, such as water waves, tsunamis, and hurricanes; (2) investigating the dynamics of gases and plasmas under physical kinetic boundary conditions,...
This $199,400 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) will fund collaborative research to augment continuous data assimilation and perform equation discovery with applications in geophysics. The research aims to develop more accurate predictive models for complex systems like weather, ocean currents, and groundwater flow by systematically adapting and modifying existing physically derived models using observable data. This approach combines traditional physics-based models with recent advances in machine learning to stay true to both scientific interpretability and data-driven accuracy. The project will have applications in areas like turbulence modeling, weather prediction, and groundwater flow modeling, with potential benefits for national water and food security. The award will also support education and workforce development through student mentoring and industry/national laboratory collaborations. The project will be conducted by researchers at the University of Nebraska under this multi-year grant, which runs from August 2025 through July 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.4k | 7/18/25 |