The Massachusetts Institute of Technology (MIT) received a $197,995 Project Grant award from the National Science Foundation Division of Earth Sciences under the Geosciences federal grant program (CFDA 47.050). The grant supports collaborative research to study seismic cycles and earthquake nucleation on heterogeneous faults through large-scale laboratory experiments, numerical simulations, and data from Whillans Ice Stream in Antarctica.
Specifically, MIT researchers will conduct meter-scale...
The Massachusetts Institute of Technology (MIT) received a two-year, $253,492 Project Grant award from the National Science Foundation Division of Earth Sciences on September 1, 2021 to conduct research on the role of subducting seamounts in fault stability and slip behavior throughout the seismic cycle. MIT will use the funding to support basic research exploring the integrated Earth system through studying how subducting seamounts, underwater volcanoes formed over hotspots, impact fault...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $126,858 to Brown University, set to begin on September 1, 2024 and run through August 31, 2029, will fund research on investigating seismic cycle processes in the "earthquake critical zone" - the upper 1 km of a fault zone where seismic waves, rocks/sediments, fluids, humans, and infrastructure intersect. The project aims to bridge geoscience and engineering concepts, data, and models to...
This $175,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project at the California Institute of Technology (Caltech) to develop an AI model that can better understand the dynamics of fault networks and their impact on earthquake probabilities and hazards.
The project aims to build a multiphysics fault network model that can discover reduced-order governing equations for the evolution of stress within complex...
This $238,111 National Science Foundation award under the Geosciences program (CFDA 47.050) will fund research at Harvard University from August 2022 through July 2025 to develop an understanding of the factors controlling ground surface deformation during thrust and reverse fault earthquakes. Through discrete element modeling, the researchers will generate over 6,000 two-dimensional models and additional three-dimensional models to statistically assess how fault and sediment parameters...
The National Science Foundation awarded this $392,914 Project Grant under the Geosciences Program (CFDA 47.050) to Carnegie Mellon University. The grant supports the development of advanced machine learning models and algorithms to uncover the intricate dynamics of earthquakes, with the goal of enhancing earthquake forecasting capabilities and improving community resilience. Key deliverables include open-source software tools, educational programs, and research experiences for undergraduates....
This $105,816 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to investigate the complex behavior of earthquake swarms in volcanic and geothermal areas. The research team at Texas A&M University will analyze seismic and geodetic data to examine the relationships between earthquake sequences, aseismic slip, fluids, and fault zone properties. They will develop computational models to simulate the interplay between seismic and aseismic slip,...
This National Science Foundation (NSF) Geosciences program (CFDA 47.050) award of $544,307 to Utah State University (USU) provides funding for a collaborative research project titled "Bridging Geoscience and Engineering to Interrogate Seismic Cycle Processes in the Earthquake Critical Zone." The project aims to investigate how material properties in the upper 1 km of major fault zones impact earthquake rupture, seismic wave radiation, ground shaking, and surface deformation. The...
The National Science Foundation (NSF) awarded a $650,000 Project Grant under the Geosciences program (CFDA 47.050) to the University of Southern California (USC) for a 3-year research project titled "Collaborative Research: CAIG: Discovering the Law of Stress Transfer and Earthquake Dynamics in a Fault Network Using a Computational Graph Discovery Approach."
The goal of this project is to build an AI model using satellite data, subsurface imagery, and other geological information to...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) totaling $225,816 will support collaborative research to investigate the evolution of elastic wave properties during the seismic cycle. The primary objectives are to explore whether variations in seismic wave properties can be identified before and/or after earthquakes, determine the underlying physical mechanisms, and assess the potential for operational forecasting of ruptures on meter-scale...