Project Grant 2152373
- This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $523,552 to the University of Texas at Austin to develop advanced computational models for simulating complex turbulent fluid flows. The research aims to create reliable, broadly applicable turbulence models for use in Large Eddy Simulation (LES) to enable more practical and accurate simulations across fields like aeronautics, propulsion, power generation, and wind energy. In...
- This $499,624 National Science Foundation project grant supports research at the University of Pittsburgh to develop physics-guided machine learning methods for turbulent flow simulation. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the three-year award aims to advance computational fluid dynamics capabilities. Specifically, the university researchers will create a new deep learning model incorporating physical constraints to reconstruct...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $349,999 Project Grant to the University of Texas at Austin to develop reliable Reynolds Averaged Navier-Stokes (RANS) turbulence models that can generalize to complex turbulent flows. The objective is to improve the predictive capabilities of computational fluid dynamics simulations, which have applications in aerospace, automotive, power generation, and wind energy sectors. The approach involves developing...
- 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 $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...
- 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...
- The National Science Foundation awarded a $670,636 project grant under the Engineering federal grant program (CFDA 47.041) to the California Institute of Technology. The grant will fund the development of a robust wall model for large-eddy simulations through reinforcement learning methods. Present wall models rely on assumptions that limit applicability, often incorrectly predicting separation and transition crucial to external aerodynamics simulations. This project aims to develop novel wall...
- This $1.2 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a geometry-aware and deep learning-based cyberinfrastructure for scalable modeling of solids and fluids at the University of California, Irvine from June 2022 to May 2025. The university will build a library of deep neural networks trained to solve single-physics...
- The University of California Irvine received a $273,133 Project Grant award from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The award will support collaborative research between three institutions from July 2023 through June 2026 to develop computational models of complex interface dynamics in reactive fluids driven from equilibrium. Researchers will derive thermodynamically consistent...
- This $173,392 two-year Project Grant from the National Science Foundation's Integrative Activities program (CFDA 47.083) supports research and training focused on developing predictive computational fluid dynamics models for flow control via anisotropic surface textures. The University of Mississippi awardee will collaborate with Stanford University's Center for Turbulence Research to generate unprecedented datasets of flows over movable microstructures and gain new understanding of nonlinear...
This three-year, $299,999 National Science Foundation project grant in the Engineering program (CFDA 47.041) will develop a physics-inspired framework for turbulent flow simulations at the University of California, Irvine. The grantee will introduce the concept of physics-inspired coarsening to address challenges with large eddy simulation modeling, including inconsistent grid resolution and treatment of boundaries. Through direct numerical simulations and LES, the grantee will rigorously test new models on flows exhibiting isotropic turbulence, wall-free shear, and wall-bounded conditions. Model accuracy will be directly evaluated before and after implementation in LES to assess integrated performance. This work aims to develop simulation technologies relevant to applications in oceanography, atmospheric science, renewable energy, aerospace, propulsion, astrophysics, and health. The grantee will also create an undergraduate course in numerical methods and integrate a computational science research project to support Hispanic students at this Hispanic Serving Institution.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 1/26/22 |