This Project Grant award of $228,014.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund research to improve the understanding of mantle anelasticity by analyzing the amplitudes of seismic waves. The research aims to establish an improved reference model for mantle anelasticity, which is crucial for understanding the material properties of the Earth's mantle and improving earthquake magnitude estimates. The award was made to Virginia Polytechnic Institute...
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) 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 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...
This federal Project Grant award from the National Science Foundation's Geosciences program, CFDA 47.050, totaling $227,245, aims to advance knowledge of tsunami hazards along the Cascadia subduction zone in the U.S. Pacific Northwest. The award to Virginia Polytechnic Institute & State University, doing business as Virginia Tech, will fund high-resolution mapping of paleotsunami deposits and advanced tsunami inundation modeling over a 3-year period from May 1, 2024 to April 30, 2027. This...
This $310,085 National Science Foundation project grant will fund the development of a unified numerical framework for understanding co-seismic slope failures at complex sites. Funded under the Engineering program (CFDA 47.041), the two-year award made to Virginia Polytechnic Institute & State University will advance the fundamental understanding of earthquake-triggered slope failures and help predict, reduce, and mitigate their destructive consequences. The grantee will develop and validate...
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 Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports research at Virginia Polytechnic Institute & State University (Virginia Tech) to advance the understanding of rainfall-triggered landslides and their consequences, considering vegetation effects and climate change. The $570,960 award, effective March 1, 2024 through February 28, 2029, aims to: (1) develop numerical analysis methods to incorporate the hydromechanical effects...
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 $499,286 Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) supports research to reconstruct the pattern, timing, and magnitude of past earthquakes and tsunamis along the Alaska-Aleutian subduction zone over the last 2,000 years. The researchers at Virginia Polytechnic Institute & State University will employ innovative paleogeodetic methods and tsunami simulations to quantify vertical deformation and map the spatial distribution of tsunami...