This National Science Foundation Project Grant award of $530,956 provides funding from October 1, 2022 to September 30, 2024 to support research applying graph theory techniques to atmospheric chemical mechanisms. The award is made under the Geosciences program (CFDA 47.050), which aims to expand understanding of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences. Specifically, the University of Southern California project will develop and assess reduced-complexity representations of atmospheric chemical mechanisms using novel graph theoretical techniques, including motif analysis, path and cycle analysis, and network robustness metrics. Researchers will also apply graph clustering methods and machine learning to support creation and evaluation of simplified atmospheric chemistry models. The work intends to enhance the research community's ability to study atmospheric chemistry and its role in air pollution and climate change by providing new tools and approaches for characterizing, utilizing, and comprehending complex chemical systems in the atmosphere.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $265.5k | 6/1/22 |