Project Grant 2532987
- This federal Project Grant award for $200,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research on small-scale dynamics in fluid mechanics. The principal investigator will work to build mathematical foundations for understanding complex fluid phenomena like boundary layers, turbulence, and wave-fluid interactions, which are crucial for applications ranging from vehicle design to weather modeling. The research aims to provide...
- The National Science Foundation (NSF) awarded a $220,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Pittsburgh. The 3-year grant supports research on improving the accuracy, decreasing the complexity, and exploring promising computational algorithms for Unsteady Reynolds Averaged Navier-Stokes turbulence models. This research aims to advance the modeling and numerical simulation of turbulent fluid flows, which is essential for...
- 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...
- This $204,884 Project Grant award from the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (CFDA 47.049) supports research by Towson University to study various subgrid scale turbulence models and their connections to the Navier-Stokes equations. The research aims to explore the mathematical properties of these turbulence models, apply data assimilation algorithms, and leverage deep learning methods for parameter estimation. Key focus areas include...
- This Project Grant award of $300,000.00 from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to study potential singularities in the Navier-Stokes equations, which describe the motion of fluids. The principal investigator at the California Institute of Technology (Caltech) will develop a novel mathematical and computational approach to uncover mechanisms that could lead to singularity formation in the 3D Navier-Stokes...
- This Project Grant award of $224,733.00 from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program supports research on the characterization and stability of boundary layers and hydrodynamic stability within the Navier-Stokes equations. The research aims to develop a systematic theory to address the mathematical challenges posed by multiscale phenomena, mixed-type phenomena, and singular perturbations in fluid dynamics. The...
- The National Science Foundation (NSF) awarded a $210,000 project grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to the University of Arkansas, Fayetteville Division to conduct research on "Robust and Efficient High-Order Algorithms for Fluid Dynamics Simulations: Structure-Preserving Methods and Optimization-Based Limiters." The project will explore the development of high-order accurate, structure-preserving numerical methods for the...
- This $313,202 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports a 5-year research project to model and analyze particle-laden fluid flows. The project involves developing novel mathematical models and computational methods to better understand the complex physics underlying particle-laden flows, which have important applications in industries like food processing, mining, and environmental remediation. Key...
- 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 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...
This $250,000 Project Grant was awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program on August 15, 2025 to The University Corporation, a non-profit auxiliary organization affiliated with California State University, Northridge. The grant supports fundamental and applied research to improve the accuracy, reliability, and efficiency of predictive models for turbulent fluid flow systems, which are critical for applications such as energy security, aerodynamics, biophysical systems, spacecraft reentry, and weather prediction. The project employs data assimilation techniques to combine physical laws with real-world data, with the goal of advancing scientific understanding and training a new generation of students to tackle real-world problems at the intersection of theory, computation, and data. The research builds on the Principal Investigator's previous work in data assimilation and turbulence modeling, with the ultimate goal of improving the ability to accurately predict complex, chaotic turbulent flows across a wide range of scientific and engineering domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 8/8/25 |