Reaction Mechanism Generation (RMG) software is a powerful tool for understanding chemical reaction pathways. However, RMG lacks experimental data to validate its prediction for certain sensitive radical reactions related to the formation of harmful polycyclic aromatic hydrocarbons (PAHs) during combustion. This project’ s goal will be to experimentally study the kinetics and product distribution of these elementary bimolecular reaction pathways to extend the accuracy of the RMG’ s models. Laser absorption spectrometry (LAS) and mass spectrometry (MS) will be used to measure both the kinetics and the product distribution of these reaction networks. Quantitatively understanding how PAHs are produced during combustion can allow us to design systems that limit their production.

I am taking part in SuperUROP to gain more experience in kinetics and energy research. I enjoyed taking Chemical Kinetics and Reactor Design and want to further develop my understanding of the subject matter through independent research. I look forward to using state-of-the art reaction-measuring tools to better understand complex chemical processes.