Events

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.

The Chemical Engineering Department is hosting a special graduate seminar on Tips on How to Write and Submit a Successful Paper.

The Chemical Engineering Department is hosting a Distinguished Speaker Seminar Series on Metal Derivative Chemical Looping Systems: A Gateway to Novel Energy and Fuel Conversion Technology.

Round Table with WiE Leaders

The Chemical Engineering Department is hosting a special graduate lecture on Exploring the potential of whey ultrafiltration permeate in enhancing wood durability & stability.

The Chemical Engineering Department is hosting a special graduate lecture on Development of High-Energy-Density Lithium-Ion Batteries

The Chemical Engineering Department is hosting a special graduate lecture on AI Transparency & AI Transformative Utilizations in Chemical Engineering. 

The Chemical Engineering Department is hosting a special graduate lecture on Accelerated scale-up of rationally designed sustainable energy materials.

The Chemical Engineering Department is hosting a special graduate lecture on Advanced Manufacturing of Electrochemical Devices.

You are welcome to attend Matthew Tino's MASc oral exam, where he will discuss his research in Characterizing Self-assembled Nanostructures via Shapelet Functions

The exam will take place virtually and in person in E6-2022. To join online, please use the link below:

Link to exam

Abstract:

Characterization of self-assembled nanostructures is important to develop structure-property relations but remains a difficult task due to inherent defects/disorder. Existing methods, such as bond-orientational order theory, contain inherent limitations that restrict widespread use.  A recent and promising approach uses a set of orthogonal functions called shapelets. This work presents extensions to existing shapelet-based techniques and new shapelet methods to quantify local orientation and topological defects. The methods are provided in an open-source Python library to promote collaboration in shapelet research.

Supervisor: Professor Nasser Abukhdeir