Project Grant 2616118
- The National Science Foundation Office of Integrative Activities awarded The University of Kentucky Research Foundation $350,624 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop machine learning–accelerated surrogate models for hydrothermal flow simulation. The project, titled "Machine Learning Accelerated Hydrothermal Modeling for Earth Science," combines physics-based simulations of hydrothermal systems with machine learning models designed to respect the...
- The National Science Foundation Office of Integrative Activities awarded Northeastern University $435,082 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that estimate nearshore bathymetry, waves, and currents from remote sensing data. The project, titled "Collaborative Research: CAIG: Transforming Understanding and Prediction of Nearshore Processes via AI-Powered Simultaneous Mapping of Bathymetry, Waves, and Currents," will...
- The National Science Foundation Office of Integrative Activities awarded Massachusetts Institute of Technology $898,723 on September 1, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that combine physics-based models with high-resolution topographic data to forecast landscape evolution and erosion. The project will construct a hybrid simulation-to-real framework in which physics-informed generative AI models trained on landscape evolution simulations...
- This collaborative research project, funded by the National Science Foundation's (NSF) Office of Integrative Activities under the Geosciences program (CFDA 47.050), received an obligation of $218,701 and is scheduled for completion by December 31, 2028. The project will deliver fundamental research and interpretable artificial intelligence (AI) models designed to advance understanding of dense granular media and particle-laden flows relevant to natural hazards such as avalanches, volcanic flows,...
- 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 Massachusetts Institute of Technology $363,394 on September 1, 2026, for collaborative research developing graph neural network-based digital twins for subsurface geoscience under the Geosciences program (CFDA 47.050). The project creates artificial intelligence methods that combine observations and models to improve understanding of how fluids move through geological formations. MIT will develop digital twins for...
- The National Science Foundation Office of Integrative Activities awarded Northern Arizona University $485,329 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed neural network emulators of lake thermal process models for long-term temperature reconstruction from lake sediment cores. The project will replace computationally expensive first-principles lake physics simulations with machine-learning-derived surrogates trained to emulate lake models,...
- 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...
- This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
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 machine learning surrogate models to reproduce full simulations at a fraction of the computational cost. These accelerated models will enable researchers to assess eruption likelihood given observed ground changes, identify focus areas for critical mineral exploration, and estimate geothermal field energy potential—questions currently computationally infeasible. The work addresses the challenge that traditional hydrothermal modeling is accurate but prohibitively slow for scenario testing, particularly given the complexity of multiphase flow (liquid water and steam) across vastly different spatial scales. Northeastern University will perform the work in Boston, Massachusetts, through July 31, 2029. The project includes training students in earth science and artificial intelligence, public release of software, and K-12 geohazard education outreach.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 8/11/26 |