Fuel cells—specifically anion-exchange membrane (AAEM) fuel cells—generate electricity from fuels such as hydrogen or alcohols and offer a cleaner alternative to conventional energy technologies. These devices typically consist of two electrodes separated by a polymer membrane that enables selective ion transport from the solvent, thereby facilitating current flow. Over time, however, the transport of ions can lead to structural degradation of the polymer membrane, adversely affecting fuel-cell performance and durability.
In this study, we aim to investigate the underlying mechanisms of polymer membrane degradation using computational methods. Gaining molecular-level insight into these processes will aid in the rational design of more robust polymer membranes, ultimately enabling the development of more efficient and longer-lasting fuel cells.
Name of research group, project, or lab
PI: Alexandra Zagalskaya, Computational Chemistry & Materials Lab (ccML), Chemical and Biomolecular Engineering
This project integrates advanced computational simulation techniques with the development of predictive molecular models, offering a unique opportunity to address impactful, real-world scientific challenges. Participation will provide hands-on experience in state-of-the-art computational research while fostering critical problem-solving skills. Moreover, involvement in this project can serve as a strong foundation for future pursuits in advanced research, graduate studies, or careers in the energy industry.
