You are welcome to attend Davinder Lall's MASc oral exam supervised by Professor P. Chou
You are invited to attend Hussein Saafan's MASc oral exam, where he will discuss his research into Improved Slow Feature Analysis for Process Monitoring.
You are invited to attend Daniel Afzal's MASc oral exam, where he will discuss his research into Exploring the Effects of Long Carbamate Chain on Amine-Based Donor-Acceptor Polymers for Solar Cell and OFET Applications.
Carbon capture is a promising way to slow down climate change from anthropogenic sources. One of the carbon capture technologies that is being actively researched is adsorption. Given the increasing amount of literature that present novel ideas, being able to predict this information based on adsorbent textural properties is desirable. In this thesis, machine learning is used to construct a model to estimate adsorbent performance.
In this thesis, Nafion membranes were modified with single to few-layer heteroatom-doped graphene with the aim of reducing vanadium crossover and possibly improving reaction kinetics within a Vanadium Redox Flow Battery (VRFB). The former was successfully achieved, while the investigation of the latter demonstrated limitations in the application of some established analysis techniques to systems such as VRFBs. Reduced graphene oxide did appear to have a positive effect on the reaction kinetics.