Project Grant 2615567
- The National Science Foundation Office of Integrative Activities awarded Saint Louis University $329,594 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that make organic geochemical molecular records searchable and comparable at scale. The project builds AI-native embeddings—numerical representations that place geochemically similar samples near one another in high-dimensional space—to integrate biomarker measurements, bulk and isotopic...
- The National Science Foundation Office of Integrative Activities awarded The Washington University $996,716 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed generative artificial intelligence models that quantify aerosol effects on marine low clouds. The research team will create three AI models trained on satellite observations and field measurements to isolate and quantify how aerosols—including wildfire smoke—influence ocean clouds. Using North...
- This $586,557 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research initiative to develop artificial intelligence (AI) models that can leverage gene sequence data to better understand ecosystem processes, with a focus on methane seep habitats. The project will collect new microbial samples from methane seeps off the coasts of Oregon and Washington and employ novel natural language processing AI approaches to predict...
- 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 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...
- 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...
- Federal Grant Award Summary Princeton University received a $899,999 Project Grant from the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050) awarded November 1, 2025, with completion scheduled for October 31, 2028. The award funds the development of artificial intelligence (AI) foundation models capable of automatically analyzing images of rock cross-sections to identify and catalog embedded geological elements such as fossils,...
- 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...
- This $541,276 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research by Oregon State University to develop artificial intelligence (AI) models that leverage gene sequence data to understand ecosystem processes in methane seep habitats. The research will focus on building two new AI models - one that codes genes and classifies them into pathways, and another that uses text and sequence protein representation to identify...
- 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...
The National Science Foundation Office of Integrative Activities awarded The Washington University $514,995 on August 15, 2026, under the Geosciences program to develop artificial intelligence tools that make molecular records from organic geochemistry searchable and comparable at scale. The project builds AI-native embeddings for organic geochemistry—numerical representations that place geochemically similar samples near one another in high-dimensional space. AI models will be trained to integrate biomarker measurements, bulk and isotopic data, chromatographic signals, and geological context, and to characterize uncertainty in sample age and paleogeographic position. The work will test whether these embeddings improve similarity search, oil-family classification, source-rock prediction, and inference for partially characterized samples compared to traditional geochemical and machine-learning baselines. The tools enable scientists to interrogate thousands of characterized samples simultaneously to answer questions about Earth's history, such as how biological communities changed across mass extinctions and how molecular signatures of flowering plants spread through time and space. Applications extend to energy exploration, environmental protection, forensic oil-spill analysis, and petroleum-origin identification. The project includes training graduate and undergraduate students in geoscience and artificial intelligence, development of public educational materials, and release of open-source software and datasets. Performance occurs at University City, Missouri, with a period of performance through July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $515.0k | 8/3/26 |