MASc Oral Exam| : Entry of Electrolytic Ammonia: Incentives and Effects
You are welcome to attend Carlo Cunanan MASc oral exam
You are welcome to attend Carlo Cunanan MASc oral exam
Optimal Integrated Decision-Making in Chemical Engineering:
MINLP Advances and Applications
You are welcome to attend Kyle Pieters MASc oral exam
You are welcome to attend Wenxuan Xia MASc oral exam
You are welcome to attend Anik Ashirwadams MASc oral exam
Synchrotron-based X Ray imaging for advancing understanding transport phenomena in porous media
Lifeng Zhang, PhD., PEng.
Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK, Canada
The Effects of Temperature on Lithium-Ion Battery Cells and Packs
You are welcome to attend Hankoung Choi's MASc oral exam, where they will discuss their research in the Development of Cellulose-based Softwood Pulp Foam for the Removal of Microplastics from Water
The exam will take place in person in QNC 4402.
(POFs) as Separator Modifiers for Efficient Polysulfides Physiosorption in Lithium–Sulfur Batteries
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:
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