Project Grant 2227495
Award Date
1/1/23
Completion Date
12/31/25
Dollars Obligated
$370K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Norman, OK 73019, USA
Similar Awards
The University of Oklahoma will provide research services under a $406,062 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041). Specifically, the university will develop an artificial intelligence and data mining decision support tool to improve flexible reservoir system modeling enabled by subseasonal-to-seasonal hydroclimatological forecasts. Researchers will leverage deep learning models to correct spatial and temporal errors in precipitation forecasts...
The National Science Foundation (NSF) awarded a $679,973 Project Grant under its Engineering program (CFDA 47.041) to the University of Oklahoma (OU) on May 1, 2025. This grant supports research to develop an artificial intelligence-assisted system for improving manufacturing product design and production planning efficiencies. Specifically, the project focuses on three key objectives: (i) accelerating product design through structured representation learning of functional dependencies, (ii)...
The University of Oklahoma received a $761,727 project grant from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to support research understanding nanoscale interactions at single-particle and single-cell levels from July 1, 2021 through June 30, 2026. As the awardee, the University will utilize the funding to conduct research and provide data collection services focusing on nanoscale interactions. The NSF Engineering program aims to improve quality...
The University of Oklahoma received a $450,000 Project Grant from the National Science Foundation to support research services focused on the development of a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing and information science through investigator-initiated research and development of...
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...
The University of Oklahoma received a $403,045 project grant award from the National Science Foundation Division of Atmospheric and Geospace Sciences on July 15, 2021 with a completion date of June 30, 2024. The award falls under the Geosciences program (CFDA 47.050), which aims to expand fundamental knowledge of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences. Through this award, the University of Oklahoma will provide research services focused on...
The University of Utah will use $395,742 from the National Science Foundation to develop machine learning models for predicting seismic failure limit states in buildings under an Engineering Project Grant (CFDA 47.041). The three-year project beginning September 2021 aims to apply machine learning techniques to analyze structural response data and improve predictions of building vulnerability under earthquake loading. NSF's Engineering Directorate seeks to foster innovation in engineering...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $607,802 to the University of Nevada, Reno (UNR) aims to develop a physics-informed machine learning framework for modeling the seismic response of geostructural systems. The key products and services to be delivered include: Scalable machine learning algorithms to accurately model the dynamic response of geostructural systems to transient ground deformations from seismic wave propagation. Approaches to accommodate...
The National Science Foundation awarded the University of Oklahoma a $227,876 Project Grant under the Integrative Activities program (CFDA 47.083). The grant will support research services focused on illuminating the dark subsurface using fiber optic distributed acoustic sensing arrays. Specifically, the University of Oklahoma will collect Doppler radar data and conduct studies in geophysics, mineralogy, and other scientific fields to enhance critical infrastructure for STEM research nationwide....
This five-year, $462,755 Project Grant from the National Science Foundation's Engineering Directorate (NSF ENG) will fund research decoding the dynamics of complex fluids near surfaces and interfaces at the University of Oklahoma from September 2022 through August 2027. As part of the NSF ENG program seeking to improve engineering innovation and education, this award will support the university's work studying the behavior of complex fluid systems close to boundaries. Leveraging its expertise in...