Automated Model Reduction for Chemical Mechanisms
- Lead PI: Faye McNeill
- August 2020 - July 2023
- Inactive
- Project Type: Research
DESCRIPTION: The primary outcome of this research will be the development of an algorithm and associated tool to generate accurate and simplified chemical mechanisms used in air quality models. Specific focus of this work will be on the gas-phase chemistry of isoprene. The project is expected to lead to improved understanding of isoprene chemistry and modeling of air quality.