Oral Dissertation Defense

Abstract

Anthropogenic activities contribute more fixed nitrogen to the global nitrogen cycle than can be reduced naturally. Developing a deep understanding of nitrogen-based chemistry is essential to balancing the global nitrogen cycle, and understanding the interconversion of NO3, NH3, and N2 and developing new catalytic materials are critical to enabling this process. In this defense, I explore metal alloy, metal sulfide, and metal oxynitride catalyst materials in the context of two nitrogen cycle reactions: nitrate reduction (NO3RR) and nitrogen reduction (NRR) to form ammonia. NO3RR reduces excess nitrate (NO3) in water, helping decrease infant methemoglobinemia, ovarian cancer, eutrophication, and mass death in aquatic ecosystems. Alloying Pt and Ru in certain compositions increases the rate of NO3RR beyond the activity of pure Pt or Ru alone. This improved activity can be rationalized by first-principles calculations and microkinetic modelling. Metal sulfides, specifically Rh sulfides, also catalyze NO3RR but can additionally resist being poisoned or deactivated in the presence of Cl, a common halide ion present in contaminated water sources. Sulfur vacancies in the Rh sulfide lattice contribute largely to the observed NO3RR activity. Finally, I explore the thermodynamic stability of single perovskite oxynitrides, which have been proposed as NRR electrocatalysts. The presence of certain arrangements of the O and N anions, as well as of certain pairs of metal cations, correlate with a high degree of thermodynamic stability. Successfully discovering highly active, selective, and stable electrocatalysts will enable us to balance the global nitrogen cycle. Effective NO3RR and NRR electrocatalysts can help mitigate the ecological and health risks from the nitrogen cycle imbalance in an energy-efficient and economically viable way.

Date
Aug 7, 2023 9:00 AM — 10:30 AM
Location
B10 South Atrium
2800 Plymouth Ave., Ann Arbor, MI 48105
Samuel D. Young
Samuel D. Young
Postdoctoral Researcher (Sep 2023)

My research interests include computational catalysis, nitrogen chemistry, and machine learning for environmental science.