Project Grant 2201297
- 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...
- The National Science Foundation (NSF) awarded a $285,669 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Louisiana State University. The grant will fund a research project titled "Adaptive Sampling for Scientific Machine Learning: Algorithms and Applications" from July 2025 through June 2028. The project aims to establish a unified framework for adaptive sampling techniques to enhance scientific machine learning algorithms. This will...
- This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $216,296 to Louisiana State University (LSU) from September 1, 2024 to August 31, 2027. The project aims to develop novel approaches and underlying theory for online machine learning, with a focus on applications in biomedical research, finance, cybersecurity, and big data. Key aspects include: Exploring the use of partial differential equations and optimal...
- 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 (NSF) Engineering program (CFDA 47.041) has awarded a $630,000 Project Grant to the University of California, Irvine (UCI) for a three-year period from September 1, 2025 to August 31, 2028. The grant will fund direct numerical simulations and statistical analysis to guide turbulent combustion closure modeling for applications in gas turbine engines, rocket engines, and industrial furnaces. The key objectives of the project are to: Uncover new relationships between...
- This $406,343 Project Grant award, funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083), supports a comprehensive, statewide initiative in Louisiana to build strategic research and development capacity for converting agricultural residues into liquid transportation fuels. The project, led by the Louisiana State University (LSU) Agricultural Center, aims to enhance the efficiency of thermochemical conversion and electrocatalytic upgrading processes to...
- 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 National Science Foundation (NSF) Integrative Activities (CFDA 47.083) Project Grant award of $299,862 to the University of Nevada, Reno will support research to develop a new framework for integrating machine learning and physics-based computational models to create "digital twins" of dynamic systems. The research aims to address limitations in current hybrid data-driven modeling approaches by embedding neural networks within physics-based models to better account for modeling...
- This National Science Foundation project grant of $296,787 supports research at Clemson University from September 1, 2022 to August 31, 2024 under the Engineering (47.041) federal grant program. The university will conduct experimental investigations and numerical simulations to improve understanding of turbulent mixing processes in combustion. Researchers will analyze physical-space scalar structure and unresolved mixing using the recently developed self-conditioned fields approach to...
- This $354,405 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Arizona State University aims to develop a modeling framework for large-eddy simulation of turbulent premixed flame in order to discover closure terms that describe combustion-induced energy backscatter. The research is expected to provide new subgrid-scale models that can accurately capture energy backscatter in turbulent premixed flame, which is critical for improving the...
This $270,480 National Science Foundation project grant will support the development of adaptive physics-informed machine learning strategies for turbulent combustion modeling at Louisiana State University from June 2022 to May 2025. The university will work to address the excessive computational costs of simulating turbulent combustion by introducing machine learning models within physically derived low-dimensional manifolds. These models will be adaptive, consistent with underlying physical laws, and suitable for high-dimensional combustion state spaces. This aims to enable simulations currently impossible using traditional tabulation techniques. The tools developed will benefit scientific machine learning applied to modeling physical systems and aid in the design of clean, efficient combustion technologies. This award falls under the NSF Directorate for Engineering's $47.041 million Engineering program, which seeks to foster innovation in engineering research and education to strengthen the national economy and quality of life.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.5k | 3/18/22 |