Project Grant 2425922
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$125K
Funding Federal Agency
Division of Mathematical Sciences
Awarding Federal Agency
Office of Integrative Activities
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Austin, TX 78712, USA
Similar Awards
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 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $462,400 to the University of California San Diego, Scripps Institution of Oceanography, to develop advanced machine learning techniques for generating realistic, synthetic earthquake ground motion simulations. The goal is to create a faster, more generalizable physics-based model that can efficiently study large, infrequent earthquakes and assess their hazards for California and Nevada....
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $220,000 Project Grant to the International Computer Science Institute (ICSI), a non-profit research organization, under the Mathematical and Physical Sciences program (CFDA 47.049). The project aims to develop resilient and reliable deep learning methods for forecasting complex spatiotemporal ground motion data, with applications in seismology, earth sciences, and other domains. Key technical objectives include...
This $220,803 project grant, awarded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports collaborative research to investigate the links between earthquake swarms, aseismic processes, and fault zone heterogeneity in volcanic and geothermal areas. The research team at Texas A&M University will use seismic and geodetic data analysis, as well as computational modeling, to examine earthquake source characteristics, spatial and temporal clustering patterns, and slow...
This Project Grant award of $386,220 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support the development of machine learning techniques to generate realistic, synthetic earthquake ground motion data. The key products of this project include: Physics-based machine learning models, named Operator Inference (OPINF), that can create time-dependent parametric surrogate models of seismic ground motions by fusing simulated wavefields with observed earthquake records....
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 National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $299,539 to the Georgia Tech Research Corporation to develop advanced machine learning models and algorithms to study the intricate dynamics of earthquakes. The key objectives are to uncover precursory signals that may precede major seismic events, enhance earthquake forecasting capabilities, and create open-source tools accessible to researchers and practitioners worldwide. The...
The National Science Foundation awarded a $167,851 project grant to the University of Texas at Austin under the Geosciences program (CFDA 47.050) for research titled "Collaborative Research: The Role of Subducting Seamounts in Fault Stability and Slip Behavior Throughout the Seismic Cycle." The two-year award beginning September 1, 2021 will support basic research into understanding the integrated Earth system through studying the influence of underwater volcanoes on fault behavior and...
This Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $352,839 to the University of Texas at El Paso from April 2021 through September 2023. The funding supports analysis of a high-quality aftershock data set from the 2017 Tehuantepec (M8.2) offshore Mexico earthquake. As part of basic research into integrated earth systems, the University will leverage the unique data to gain insights into seismic processes within subduction zones. Results from the...
The National Science Foundation (NSF) awarded a $206,021 Project Grant under the Geosciences program (CFDA 47.050) to Utah State University (USU) to conduct collaborative research on the evolution of elastic wave properties during the seismic cycle. The project aims to illuminate the processes associated with earthquake precursors in order to improve seismic hazard forecasting. The research will use active source seismic interrogation techniques to study the mechanics of pre- and post-seismic...