Cooperative Agreement FA70001320018

This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) for $259,701 aims to develop a novel hierarchical adjoint-based data assimilation framework to improve the accuracy and efficiency of turbulence flow modeling and prediction. The key products/services to be delivered include: Development of open-source software tools encapsulating the hierarchical adjoint-based data assimilation (HADA) framework, which will be made available to researchers...

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 $445,930 National Science Foundation project grant through the Engineering (47.041) program will fund the development of efficient methods to calibrate models for missing physics in simulations of complex turbulent reacting flows. The University of Notre Dame will optimize turbulence closures and develop an adjoint-based optimization method for canonical flows and a co-optimization framework leveraging adjoint and ensemble Kalman-based optimization for geometrically complex flows. The...

This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) provides $490,525.00 to The Regents of the University of Minnesota, doing business as the Office of Sponsored Projects Administration, to conduct research on stochastic modeling of turbulence over rough surfaces. The goal is to develop a new model that can accurately represent the velocity field and dynamics of near-surface turbulence, which is critical for applications like wind energy and pollution...

This $272,400 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports a collaborative research effort between the University of California, Los Angeles (UCLA) to investigate and develop techniques for estimating and controlling gust-induced aerodynamic effects in energy and propulsion systems involving lifting surfaces. The key objectives of the 18-month project are to leverage prior research on unsteady aerodynamics to advance the...

This $332,768 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the development of a new hybrid pseudo-spectral adjoint algorithm and multidisciplinary design optimization framework at the University of Michigan from September 2022 through August 2025. The algorithm and framework aim to enable the gradient-based MDO of large-scale engineered systems governed by unsteady processes. Specifically, the project will combine time-accurate analysis and...

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...

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...

Federal Project Grant Award Summary The University of Maryland, College Park received a $362,810.97 project grant from the Office of Naval Research (ONR) under the Basic and Applied Scientific Research program (CFDA 12.300) to conduct research on low- and high-fidelity simulations of high-speed droplet aerobreakup and impingement with material response modeling. The award, effective July 1, 2025, through June 30, 2028, funds fundamental and applied research addressing potential naval...

Federal Grant Award Summary Georgia TECH Research Corp received a $630,763 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2028. The project delivers fundamental research and systematic methodologies for data-driven, physics-informed modeling of multiscale fluid dynamics phenomena. The research addresses...