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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 2023
Global warming and climate change are driving the use of cleaner energy sources to replace fossil fuels. Wind and solar energy are renewable and sustainable clean energies and can generate electricity. However, both wind and solar energy depend on the weather conditions. Storing the electricity...
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Lumped kinetic modelling and multivariate data analysis of propylene conversion over H-ZSM-5
DownloadSpring 2013
The process of catalytic conversion of propylene over ZSM-5 zeolite catalyst in a plug-flow micro-reactor with continuous feed flow is studied under near atmospheric pressure and in the temperature range of 330°C to 450°C with gas hourly velocity from 110/hour to 300/hour. The reaction product is...
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Machine Learning and Text Mining: A New Approach to Determine the Weather Effects on Construction Incidents
DownloadSpring 2024
In the construction industry, safety standards are not only a priority but a necessity due to the dynamic nature of the field. Workplace safety is a complex issue influenced by a variety of factors that are constantly evolving. Each incident has the potential to impact the industry's intricate...
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Spring 2024
Despite recent advancements in molecular dynamics (MD) methods, the computational costs of \emph{ab initio} molecular dynamics simulations for explicit solvation systems are still too significant. If accuracy is to be left uncompromised, new methods must be employed to reduce computational...
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Spring 2020
Machine learning (ML) has shown great potential to create tremendous value and growth to all sectors around the world, enhancing productivity, health, and longevity of humanity. ML differentiates itself from all previous methods through its adaptive and self-learning capabilities. In recent...
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Machine Learning for Robust Tracking of Interface Level Inside a Primary Separation Vessel in the Presence of Occlusions and Noise
DownloadSpring 2021
A Primary Separation Vessel (PSV), used in the oil sands industry, is an important process equipment, where Bitumen is separated from the oil sand using a density based separation process. The interface level between a bitumen rich layer (froth) and a layer that has moderate amounts of bitumen in...
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Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture
DownloadFall 2021
Cyclic adsorption processes are widely considered for various industrial gas separations, including CO2 capture. The flexibility to configure a variety of process cycles is an attractive process design feature of these processes. Despite such flexibility for process design, computationally...
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Spring 2022
Processing of complex feedstocks for the production of value-added chemicals and fuels is industrially important. The lack of a priori knowledge of the innumerable species and the reaction pathways governing their conversion, has posed challenges to monitoring these processes. Although,...
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Macromolecular Engineering towards the Fabrication of Biomimetic Membranes with Water Channel Proteins for Desalination Applications
DownloadFall 2016
Due to the fast development of human society and high growth of world population, fresh water shortage has become one of the most critical and urgent problems of our society. Since the discovery of aquaporins (water channel proteins), researchers have been trying to incorporate them as functional...
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Mapping the Microstructure of Single-Site Ethylene/1- Hexene Copolymers Using Response Surface Methods
DownloadSpring 2022
Polyolefins are a commercially important class of polymers made only of carbon and hydrogen atoms. Polyethylene accounts for a sizable fraction of commercial polyolefins, covering applications from packaging films, water tanks, biomedical equipment, bulletproof vests, and adhesives. The use of a...