Project Grant 2317254
Award Date
6/15/23
Completion Date
5/31/26
Dollars Obligated
$320K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02139, USA
Similar Awards
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $303,839 Project Grant to the Massachusetts Institute of Technology under the Engineering federal grant program (CFDA 47.041) from October 1, 2022 to September 30, 2025. The grant will support research to characterize and model the impacts of Coriolis forces and atmospheric stability effects on wind turbine wake dynamics. The grantee will conduct large eddy simulation...
This Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems provides $255,634 to support research advancing understanding of particle-laden gravity currents under the Engineering program (CFDA 47.041). The Massachusetts Institute of Technology will collaborate with analytical modeling, numerical simulation, laboratory experimentation, and unique field data to develop empirical models predicting transport processes in...
The Massachusetts Institute of Technology (MIT) received a $115,818 Project Grant award from the National Science Foundation Division of Ocean Sciences on October 1, 2021 to support research towards a more comprehensive understanding of Eulerian and Lagrangian transport of active and passive tracers in the ocean. The award will fund MIT's collaborative research efforts through September 30, 2024 under the Geosciences program (CFDA #47.050), which aims to strengthen the national scientific...
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 National Science Foundation (NSF) Project Grant award under CFDA 47.050 - Geosciences program provides $181,787 to the Massachusetts Institute of Technology (MIT) to study the role of wind and waves in mixing the upper ocean. The 3-year project, effective July 1, 2024, will carry out simulations with laboratory experiments and computer models to test the hypothesis that coupling currents and waves is necessary to reliably represent the deepening of the ocean surface layer. The research aims...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $530,513 Project Grant to the Texas A&M Engineering Experiment Station to develop new computational tools for fluid-structure interaction problems under the Engineering (47.041) federal grant program. This three-year award beginning June 1, 2023 will support research leveraging quantum computing and machine learning techniques to accelerate solutions to challenges involving interactions...
This $129,353 federal Project Grant award was provided by the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) to the Massachusetts Institute of Technology (MIT) to support research on evolution equations in geometry. The project will investigate topics such as mean curvature flow and new methods for the diffeomorphism group, with applications to Ricci flow. The research aims to advance the understanding of how natural phenomena change over time, with potential...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award provides $687,382 to the Massachusetts Institute of Technology (MIT) from March 1, 2025 to February 28, 2030. The award supports research and education focused on establishing deep generative models (DGMs) for engineering design applications. Key research objectives include: (1) creating DGM frameworks that leverage historical optimization data, (2) developing algorithms to utilize invalid design data,...
The Massachusetts Institute of Technology (MIT) received a $1.2 million project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will fund a collaborative research project between Aug 1, 2021 and Jul 31, 2025 to develop frameworks that converge Bayesian inverse methods and scientific machine learning in Earth system models...
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...