This $300,000 federal Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to increase the computational speed and accessibility of geoscientific models used for air pollution and climate research. The project, led by the Massachusetts Institute of Technology (MIT), will focus on three key thrusts: 1) creating surrogate models for atmospheric chemistry to enable more efficient geoscientific modeling, 2) developing ML models for wildfire plume rise to improve understanding of smoke transport and public health impacts, and 3) creating an "equation-based" platform for atmospheric chemical transport modeling that enhances performance, modularity, and differentiability. This work seeks to remove barriers to broader use of geoscientific models by making them easier to use, understand, and develop, thereby increasing public trust and transparency in these critical research tools. The award period runs from November 2024 through October 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 8/29/24 |