Project Grant 2237437

Award Date 6/1/23
Completion Date 5/31/28
Dollars Obligated $475K
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Baton Rouge, LA 70803, USA
Similar Awards
This $191,710 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) is supporting a collaborative research effort to address fundamental issues linking great earthquakes with plate tectonics. The interdisciplinary team, led by the California Institute of Technology (Caltech), is developing advanced computational methods and algorithms to enable the simulation of long-term tectonic plate motions coupled with the space-time evolution of stresses...
The National Science Foundation awarded a $303,820 Project Grant under the Geosciences program (CFDA 47.050) to the University of California, Santa Cruz to characterize the seismic radiation from finite earthquake sources and investigate its links to fault physics. The research aims to improve understanding of large earthquake scenarios in different tectonic plate boundary settings by developing physics-based computational models that can reproduce geophysical observations. Key objectives...
This Project Grant award from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will support collaborative research to investigate seismic cycle processes in the "earthquake critical zone" - the upper 1 km of fault zones where seismic waves, rocks, fluids, and the built environment intersect. The $277,792 award to Brown University, with a period of performance from September 1, 2024 to August 31, 2029, will fund research on two major continental strike-slip...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $249,272, effective January 1, 2026 through December 31, 2028, supports the development of machine learning techniques to generate realistic, synthetic ground motion simulations for studying large earthquakes. The project, conducted by the University of Nevada, Reno (UNR), aims to create a physics-based, parametric surrogate model called Operator Inference (OPINF) that can produce seismic ground...
This $162,243 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research at the University of Central Florida (UCF) to advance predictive understanding of landscape evolution and erosional extremes under changing climatic conditions. The key objectives are to: (1) extract local geomorphic transport laws driving landscape evolution using large-scale experimental data and novel physics-informed artificial intelligence methods; (2)...
This $1,021,366 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project to investigate seismic cycle processes in the earthquake critical zone on major strike-slip faults. The research team at Utah State University (USU) will bridge geoscience and engineering concepts, data, and models to characterize the earthquake critical zone and improve earthquake hazard models and seismic site response analyses. Key research...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) is funding a collaborative research effort to bridge the gap between short-term earthquake dynamics and long-term plate tectonic processes. The $205,000 award to Virginia Polytechnic Institute & State University will develop advanced computational methods to efficiently model the coupled physics of great earthquakes and plate tectonics on the largest supercomputers. The project aims to provide a...
This $175,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to develop an AI model for understanding fault dynamics and earthquake hazards in complex fault networks. The project, led by the California Institute of Technology (Caltech), aims to build a multiphysics fault network model to discover reduced-order governing equations for the evolution of stress in fault systems. This work will enable improved assessment of regional...
This $140,967 two-year Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research to reevaluate the experimental foundation for rheology models of crust-forming minerals. Principal Investigator Jianbao Korenaga of Yale University will apply statistical methods to obtain new flow laws from existing deformation data for a range of minerals. Undergraduate students will conduct this reanalysis, gaining valuable research experience. The new flow laws...
This $125,000 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program will support research at the University of Texas at Austin to develop a Bayesian inference framework for learning earthquake cycle deformation processes across scales. The project aims to create an advanced framework capable of assimilating multi-modal observational data into high-resolution forward models to infer...

This five-year, $475,451 National Science Foundation project grant in the Geosciences program (CFDA 47.050) will support research examining how topography preserves details of the seismic cycle. The principal investigator will develop computational landscape simulations under varying tectonic and climatic conditions to identify topographic signatures of the seismic cycle. They will then assess whether these signatures are recognizable in natural landscapes with independent constraints on seismic history. One PhD student and one postdoctoral researcher will be supported. The goal is to provide insight into short-term earthquake processes from long-term topography, benefiting seismic hazard assessments where data is limited. Additionally, an online Landscape Library of simulated landscapes under diverse conditions will be created alongside educational materials, providing a resource for geoscience educators worldwide.

Generated 1/23/24, 12:19 PM