Project Grant 2615651
- 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 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 Division of Earth Sciences awarded Massachusetts Institute of Technology $220,796 on August 1, 2026, under the Geosciences program (CFDA 47.050) to conduct laboratory experiments simulating deformation in subduction zones and connecting material failure to seismic signals. The recipient will conduct experimental work that mixes brittle and ductile materials to model subduction-zone deformation, recording acoustic emissions when material breaks during controlled...
- Federal Grant Award Summary Massachusetts Institute of Technology received a $497,026 Project Grant from the National Science Foundation (NSF) Office of Integrative Activities under the Geosciences program (CFDA 47.050), awarded October 1, 2025, with completion targeted for September 30, 2028. The award funds collaborative research to develop the first multiscale artificial intelligence (AI) ocean emulator capable of spanning submesoscales to large-scale ocean flows. The primary deliverable is a...
- This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $300,000 in funding to the Massachusetts Institute of Technology (MIT) from November 15, 2024 to October 31, 2027. The award supports the development of machine learning-powered "surrogate models" to increase the computational speed and efficiency of geophysical models used for air pollution and climate research. Key project objectives include: Creating simplified,...
- 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...
- The Massachusetts Institute of Technology (MIT) received a $1.2 million project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will fund a collaborative research project between Aug 1, 2021 and Jul 31, 2025 to develop frameworks that converge Bayesian inverse methods and scientific machine learning in Earth system models...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Massachusetts Institute of Technology $432,737 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop large-scale pretraining approaches for earth observation foundation models using noisy geospatial labels. The project characterizes scaling laws for earth observation foundation models by studying how model performance varies with dataset size, model size, land...
- 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 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 intermediate-scale multiphase flow experiments using graph neural networks and diffusion models, building efficient surrogate models that capture multiphase flow behavior in complex geological formations. The research integrates experimental observations to quantify uncertainty and improve predictions, applying transfer learning to adapt models to new operating conditions and geological settings with limited additional data. The resulting framework supports uncertainty-aware prediction, data assimilation, and scenario exploration, with validation through physical experiments. Developed AI models, software, and benchmarks will be openly shared for industry applications including groundwater contaminant transport, geothermal energy, and related subsurface geoscience problems. The award supports student and researcher training at the intersection of artificial intelligence and the geosciences. Performance runs through August 31, 2029, with work conducted at MIT's Cambridge, Massachusetts location. No sub-awards are planned.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $363.4k | 7/30/26 |