Project Grant 2536815
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $390K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Irvine, CA 92697, USA
Similar Awards
- This $389,332 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop improved computer models and simulation tools to better predict how wildfires spread in areas where forests and natural areas meet cities and towns, known as the wildland-urban interface (WUI). The key objectives are to: 1) Gain a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local...
- This $1,059,167 federal project grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop improved understanding and models of fire spread, including small-scale to large-scale interactions, in the wildland-urban interface (WUI). The University of California, San Diego (UCSD) is conducting this 3-year research effort, which started on September 1, 2025 and will conclude on August 31, 2028. The key objectives of the project are to: (I) develop a...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance wildfire risk assessment in wildland-urban interface (WUI) communities through comprehensive data collection and high-fidelity fire spread modeling. The $196,639 award to the University of Maryland, College Park will fund the compilation of a detailed dataset documenting the impacts of the Maui wildfire, as well as an assessment of using advanced computational fluid dynamics...
- The National Science Foundation (NSF) awarded a $430,171 Project Grant under the Engineering program (CFDA 47.041) to Worcester Polytechnic Institute (WPI) to develop a new predictive modeling framework that incorporates canopy biomechanics, aerodynamics, and fire-atmosphere interactions to better understand and predict wildfire behavior in forested areas. The research team will use multi-physics modeling and controlled laboratory experiments to simulate how flexible trees interact with wind and...
- The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California, Irvine (UC Irvine) to advance wildfire science, prediction, and management using machine learning. The key products and services to be delivered include: Developing a large new public dataset of fire-related environmental observations to support large-scale machine learning and reproducible research on wildfire spread modeling. Advancing innovative...
- This $599,974 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the creation of a physics-based computational model for predicting structural ignition risks from wildfires at the University of Michigan from January 2023 through December 2025. The model will simulate ignition from firebrands on structures using a probabilistic multiphase Eulerian approach for transport and the discrete element method for firebrand fracture and mass loss. It will be...
- The National Science Foundation (NSF) Geosciences Program (CFDA 47.050) awarded a $1,305,489 project grant to the University of Colorado to develop a validated, physics-based computational modeling capability for predicting firebrand generation, properties, and near-field transport during wildland fires. This highly interdisciplinary research project aims to improve the accuracy and reliability of computational tools used to simulate and predict the spread and impact of large-scale wildfires,...
- This $1,481,250 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support a collaborative research project at North Carolina State University (NC State) to investigate the impacts of rapid shifts between extreme wet and dry weather conditions on fuel loading and wildfire risk in the Southeast United States. The project will characterize these hydroclimatic events and their relationship to observed wildfires, conduct field experiments to...
- This $370,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The University of Alabama in Huntsville to improve understanding of wildfire behavior in heterogeneous fuel mixtures from July 2022 to June 2025. The research aims to identify key physical and chemical processes controlling ignition and spread of fire in mixtures of living and dead fuels through controlled experiments and computational simulations. Lasers and other...
- This $400,000 two-year Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Worcester Polytechnic Institute to better understand the role of non-steady winds on wildfire spread. Specifically, the award will support examination of the physical mechanisms by which gusting winds interact with flame-driven wildfire spread and firebrand spotting. Novel imaging methods will also be used to measure these...