Optimizing Photocatalysts with Advanced Electrochemical Impedance Spectroscopy for Clean Fuel Generation

This PhD research will focus on developing and applying advanced electrochemical impedance spectroscopy (EIS) techniques to gain a deeper understanding of the interfacial processes and mechanisms in photoelectrocatalytic systems used for water splitting and CO2 reduction. The project aims to investigate the charge transfer dynamics, double-layer capacitance, and diffusion characteristics of novel photocatalysts under different operating conditions. By correlating impedance data with performance metrics, the research will contribute to optimizing catalyst design and operating parameters for efficient and sustainable hydrogen production and carbon dioxide conversion. This work will also explore the use of impedance spectroscopy as a diagnostic tool to monitor catalyst degradation and stability over time, providing insights critical for the development of long-lasting, high-performance photoelectrocatalytic systems.

In addition to experimental work, the PhD student will also engage in device modeling, where theoretical models of the photoelectrocatalytic systems will be developed and refined. These models will simulate the behavior of the photocatalysts under various operational conditions, including charge transfer, mass transport, and reaction kinetics. The student will compare the simulated results with experimental measurements obtained from electrochemical impedance spectroscopy (EIS), allowing for a deeper understanding of the physical processes driving the system's performance. This comparison will aid in validating the models and improving the design and operational strategies for the photocatalysts, thereby enhancing the efficiency of water splitting and CO2 reduction reactions.

The ideal candidate for this PhD project should have a strong background in chemistry, chemical engineering, materials science, physics or a related field, with a specialization in electrochemistry or catalysis being desirable. Prior experience with electrochemical characterization techniques, particularly impedance spectroscopy, would be advantageous. Additionally, the student should possess good computational skills, as device modeling and data analysis will play a key role in the research.