Project Grant 2616244
- This federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $310,635 to the University of Illinois to investigate the subsurface structure beneath the Yellowstone volcanic province in Wyoming. The project aims to create a high-resolution 3D image of seismic wave speeds in Yellowstone's magma reservoir using full waveform inversion techniques. This research will help resolve fine-scale structures within the magma reservoir, potentially...
- The National Science Foundation Division of Earth Sciences awarded the University of Houston System $301,030 on August 1, 2026, under the Geosciences program (CFDA 47.050) to characterize magmatic system dynamics and structure using fiber-optic sensing. The project develops real-time volcano monitoring using ordinary telecommunication fiber-optic cables as dense networks of ground deformation sensors. The research team will deploy low-frequency distributed acoustic sensing (LFDAS) on existing...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $296,096 to Brown University provides funding to investigate the crust and uppermost mantle beneath active volcanoes using new seismic analysis techniques. The 2-year project, starting on Sep 1, 2024, aims to advance understanding of how magma storage and migration affect the eruptibility of volcanoes in regions like Yellowstone, the Cascades Arc, and the Altiplano-Puna Volcanic Complex. Key...
- The National Science Foundation Office of Integrative Activities awarded Northeastern University $350,000 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop machine learning models that accelerate hydrothermal flow simulations while preserving underlying physics. The project, titled HYDROTML, will generate thousands of physics-based simulations covering realistic ranges of rock properties, heat sources, and fluid conditions across meter-to-kilometer scales, then train...
- This National Science Foundation (NSF) Division of Earth Sciences Project Grant, funded under CFDA 47.050 Geosciences, provides $180,000 over 2 years starting August 1, 2023 to explore the significance of spatial field data from integrated satellite remote sensing and GPS time series for machine learning and volcanic early warning applications. The project aims to integrate data from satellite radar, GPS, and high-resolution digital elevation models to generate 3D time series of surface...
- The National Science Foundation Office of Integrative Activities awarded Texas A&M University $718,221 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools for analyzing dense seismic array data. The project will create a geometry-aware self-supervised learning framework to process temporary dense-array seismic recordings from Oklahoma, Texas, and Hawai'i. The framework will learn representations from paired time-domain and frequency-domain...
- The National Science Foundation awarded a $270,911 Project Grant under its Geosciences Program (CFDA 47.050) to Colorado State University to design an algorithm for unsupervised deep clustering of seismic time series data at volcanoes. The project aims to develop a multimodal variational autoencoder approach to process continuous seismic data at Erebus Volcano in Antarctica, with the objective of blindly resolving different types of seismic events, including icequakes, lava lake eruptions, and...
- The National Science Foundation awarded the University of New Mexico $415,777 on August 1, 2026, under the Geosciences program (CFDA 47.050) to investigate sulfur behavior in the volcanic critical zone and its implications for eruption forecasting and gas monitoring. The research will examine sulfur in volcanic gases, rocks, and magma at well-monitored active volcanoes to understand how sulfur moves from magma to the surface. This work supports hazard assessment and eruption forecasting in North...
- The National Science Foundation Office of Integrative Activities awarded the University of Miami $277,083 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools for analyzing dense seismic array data from temporary field deployments in Oklahoma, Texas, and Hawai'i. The project will create a geometry-aware self-supervised learning framework that processes paired time-domain and frequency-domain seismic recordings while accounting for variations in...
- The National Science Foundation Office of Integrative Activities awarded the University of Texas at Austin $364,836 on September 1, 2026, under the Geosciences program (CFDA 47.050) to develop graph neural network-based digital twins for subsurface multiphase flow modeling. The project will create artificial intelligence methods that integrate observations and models to improve understanding of fluid movement through geological formations, particularly where complex geology and limited...
The National Science Foundation Office of Integrative Activities awarded the University of Houston System $662,871 on October 1, 2026, under the Geosciences program (CFDA 47.050) to test geological hypotheses of the Yellowstone Caldera using deep generative models. The research will create high-resolution, three-dimensional electrical conductivity models of Yellowstone's hydrothermal plumbing system by applying unsupervised, probabilistic deep-learning inversion to airborne electromagnetic and magnetotelluric data. The team will develop a joint inversion framework based on deep generative models to quantify uncertainty and test competing hypotheses for the magmatic system, including stacked sills, vertical dikes, localized lenses, and isolated melt pockets. Rather than producing a single image, the framework will estimate relative support for alternative magmatic melt architectures and constrain melt fraction, connectivity, and volume with quantified uncertainty. The research will improve understanding of how heat, water, fractures, and magma affect geysers, hot springs, ground motion, and other signs of change at Yellowstone. The findings will support volcano and steam-driven hazard assessment and strengthen monitoring and early warning capabilities, and advance methods applicable to mineral exploration for modern technologies and infrastructure. Work is performed in Houston, Texas through September 30, 2029. The project integrates Earth science with artificial intelligence to train researchers across fields and strengthen the nation's STEM workforce.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $662.9k | 7/31/26 |