This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $499,993 to the University of Massachusetts to investigate fluid-structure interactions (FSI) between flexible structures and inertial-viscoelastic flow. The goal is to conduct numerical simulations and synergistic experiments to understand the influence of viscoelasticity on the dynamics of flexible structures like flags, sheets, and cantilevered beams in high-Reynolds number flows....
The Massachusetts Institute of Technology (MIT) received a $320,000 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering (47.041) federal grant program. The award will support the development of a unified closure model for computational fluid dynamics capable of accounting for diverse flow phenomena through May 2026. Specifically, MIT will couple fundamental physics and machine learning...
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 $559,751 CAREER award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a scalable, open-source software platform that leverages advanced computational fluid dynamics methods to model complex fluid-structure interaction challenges. The project will enhance the accuracy and performance of particle-based numerical methods, enabling experimentally validated simulations of real-world scenarios in aerospace,...
The University of Texas at Austin received a $460,698 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The award is supporting research from August 1, 2021 through July 31, 2024 under the NSF Engineering Program (CFDA 47.041). Specifically, the University is developing data-driven model reduction and real-time estimation and control techniques for coherent structures in turbulent flows. The NSF Engineering Program seeks to...
This National Science Foundation (NSF) Project Grant award for $370,974, provided through the NSF Engineering program (CFDA 47.041), will support research at the University of Houston aimed at advancing the understanding of quantum materials and their unique properties. The research will develop new models and methods for designing quantum materials by linking continuum mechanics with quantum field, electric field, and magnetic field interactions. Specifically, the project will explore the...
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 National Science Foundation Project Grant of $533,432 awarded on March 1, 2023 will fund research, education, and outreach activities at Texas A&M Engineering Experiment Station through February 28, 2028. Under the NSF Engineering program (CFDA 47.041), this award will support the development of an all-scale continuum modeling framework to predict plastic deformation and failure across material scales. The awardee will conduct research on magnesium-aluminum micropillars, nanoporous...
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 $309,527 project grant to Florida Atlantic University for investigation of multi-scale turbulence coupling by goal-oriented adaptive surface modulation. The grant is funded through the NSF's Engineering program (CFDA 47.041) and will support research from May 2021 through April 2025. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research. This project aims to advance...