Project Grant N000142612238

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...

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...

This collaborative research project, funded by the National Science Foundation's (NSF) Geosciences program (CFDA 47.050) and awarded to Massachusetts Institute of Technology on October 1, 2025, delivers fundamental research aimed at advancing understanding of turbulent processes within coupled air-sea boundary layers. With total obligated funding of $280,247 through September 30, 2028, the project combines high-resolution laboratory experiments, high-fidelity numerical simulations, and...

This Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund $900,000 over three years to develop new physics-informed deep learning methods for discovering probabilistic turbulence closure models. The University of Pittsburgh will utilize machine learning algorithms and high-performance computing to solve the forward and inverse probability density function transport equations governing turbulent flows. If...

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 $904,240 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Rochester to support an effort to understand the complexities of turbulence in high energy density plasmas. The 3-year project, running from August 1, 2024 to July 31, 2027, aims to characterize plasma turbulence across different scales using advanced interferometry and imaging diagnostics at the university's HADES pulsed power facility....

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 $339,994 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research to advance the fundamental theoretical understanding of wave turbulence in the atmosphere and oceans. The award to New York University (NYU) will fund a multi-pronged effort combining theory and numerical modeling in three key areas: 1) investigating how broadband wave spectra can emerge from monochromatic wave sources through interactions with mean...

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...

The National Science Foundation Division of Atmospheric and Geospace Sciences awarded a $458,858 Project Grant to The Regents of the University of Colorado to support research titled "COLLABORATIVE RESEARCH: NEW PATHWAYS TO ENHANCED TURBULENCE AND MIXING VIA KELVIN-HELMHOLTZ INSTABILITY TUBE AND KNOT DYNAMICS." The three-year award beginning November 1, 2021 will fund basic research into atmospheric dynamics and turbulence under the NSF's Geosciences program (CFDA 47.050)....