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....
This National Science Foundation (NSF) Project Grant award under the Geosciences program (CFDA 47.050) supports a collaborative research project between the University of California, Santa Cruz (UCSC) and Hebrew University to directly measure fault rupture dynamics and seismic wave propagation in a laboratory setting. The $399,601 award, effective from August 1, 2024 to July 31, 2027, will leverage specialized laboratory equipment to conduct high-speed imaging and in-situ seismogram...
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 National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant, awarded to the University of Wisconsin-Madison on August 1, 2024, provides $201,306 in funding over 3 years for a collaborative research project investigating seismic hazards along the Alaska-Aleutian subduction zone. The project aims to combine data from a traditional land-based broadband seismic deployment and a distributed acoustic sensing (DAS) experiment along the Cook Inlet in Alaska to model the...
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...
The University of California San Diego Scripps Institution of Oceanography was awarded a $125,111 Project Grant from the U.S. Geological Survey under the Earthquake Hazards Program Assistance (CFDA 15.807) to examine implications of spatial variations in earthquake stress drop for fault mechanics and strong ground motion. Work will be performed from January 1, 2023 through December 31, 2023 and includes research on earthquake stress drops coordinated between the Principal Investigator and a...
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 Project Grant award of $218,952.63 from the U.S. Geological Survey's (USGS) Earthquake Hazards Program Assistance (CFDA 15.807) will support the development and benchmarking of neural point process models for improved earthquake forecasting. The key deliverables include: Establishing a community benchmarking exercise for evaluating existing neural and other point process models for earthquake forecasting. Extending the identified neural models to incorporate magnitude information and...
This $107,139 federal Project Grant award from the U.S. Geological Survey's Earthquake Hazards Program (CFDA 15.807) will fund a collaborative research project between Montana Technological University and the Wyoming State Geological Survey. The project aims to investigate the geometry and slip rate of the East Gallatin-Reese Creek fault system, a 40-km-long, Quaternary-active normal fault system in northwest Yellowstone National Park. Key activities include mapping fault scarps, measuring fault...
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...