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Skip to Search Results- 1325Department of Chemical and Materials Engineering
- 3Department of Biomedical Engineering
- 2Department of Biological Sciences
- 2Department of Laboratory Medicine and Pathology
- 1Department of Civil and Environmental Engineering
- 1Department of Human Ecology
- 2Bendrich, Michelle
- 2El-Thaher, Nayef
- 2Fadic Eulefi, Anton
- 2Hoseinzadeh Hejazi, Sayed Alireza
- 2Hosseininejad, Seyed Shaham Aldin
- 2Karkooti, Amin
- 44Xu, Zhenghe (Chemical and Materials Engineering)
- 40Huang, Biao (Chemical and Materials Engineering)
- 34Liu, Qingxia (Chemical and Materials Engineering)
- 27Henein, Hani (Chemical and Materials Engineering)
- 27Zeng, Hongbo (Chemical and Materials Engineering)
- 20Gupta, Rajender (Chemical and Materials Engineering)
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Spring 2022
Glass-formation is a ubiquitous phenomenon that is often observed in a broad class of materials ranging from biological matter to commonly encountered synthetic polymer, as well as metallic and inorganic glass-forming (GF) materials. Despite the many regularities in the dynamical properties of GF...
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Molecular Dynamics Study of the Interactions between Cations/Carbon Dioxide and Selected Mineral Surfaces
DownloadSpring 2018
Undoubtedly, we need to become increasingly aware of the changes and problems introduced to our environment. Oil sands industrial waste disposal and greenhouse gas emission are the two major by-products of the industrial processes that cause environmental concerns, such as huge tailing ponds and...
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Spring 2021
Asphaltenes are the heaviest and most polar group of molecules in crude oil. Colloidal behaviors of asphaltenes, including the aggregation and interfacial behaviors, have impacts on many petroleum production processes. For example, the aggregation of asphaltenes can lead to problems such as...
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Monitoring of Industrial Processes via Non-stationary Probabilistic Slow Feature Analysis Machine Learning Algorithm
DownloadSpring 2020
This research develops a first of its kind machine learning (ML) algorithm, called probabilistic slow feature analysis (PSFA), that monitors and detects faults for non-stationary industrial processes. The novelty of this ML algorithm is that it can monitor and detect faults for non-stationary...
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Morphological Effects of Water Soluble Polymer Flocculants Synthesized by Controlled Reversible-Deactivation Radical Polymerization for Treatment of Mature Fine Tailings
DownloadFall 2020
The bitumen reserves in Northern Alberta are a valuable asset, but extracting bitumen from oil sands via the Clark hot water process produces undesirable waste tailings. These tailings are transported to tailings ponds where the sand and clay particles are left to settle slowly, creating a...