Project Grant FA23862314022

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 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 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to the Florida Institute of Technology Inc. (Florida TECH) provides $198,529 in funding to conduct advanced numerical simulations and experimental research to improve the understanding and modeling of turbulent combustion in high-speed aerospace propulsion systems. The research aims to address critical knowledge gaps in predicting the complex interactions between turbulence, shock waves, and...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program award of $175,000 will fund the development of an open-source, GPU-enabled computational fluid dynamics (CFD) framework at the University of Wyoming. The project aims to create advanced numerical methods and software for accurately and efficiently simulating fluid dynamics problems, with a focus on modeling compressible Navier Stokes equations using the high-order accurate discontinuous...

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...

The Department of the Air Force Materiel Command Research Laboratory awarded a $100,000 Project Grant to Sungkyunkwan University Research & Business Foundation to support basic research for proposal 21IOA104 "Heat Dissipation Artificial Meta-Structures (AMS) for Space Electronic Devices in Extreme Environment" from December 10, 2021 to December 9, 2023. The research aims to develop heat dissipation technologies using artificial meta-structures to enable space electronic devices...

This National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems award, under the NSF Engineering program (CFDA 47.041), provides $556,861 to the Georgia Tech Research Corporation to conduct research on fluid dynamics in confined geometries, specifically related to heat management in high-power electronic devices. The research aims to unravel the enigma of hydraulic jumps, a phenomenon observed in liquid flows, and understand how it may impact the...

This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to Texas Tech University System provides $249,394 to develop novel machine learning (ML) models that can accurately approximate kinetic equations used to model non-equilibrium phenomena in physics and engineering. The project aims to create reduced-order ML moment models that can capture the underlying physics while preserving key mathematical properties like hyperbolicity,...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $299,431 to the University of Alabama in Huntsville (UAH) to develop characterization techniques for determining the rate and temperature-dependent properties of polymer matrix composite (PMC) materials. The goal is to enable accurate simulations of PMC behavior under dynamic loading conditions, such as vehicle crashes and aircraft impacts, to support the widespread...

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...