This project seeks to understand how a next-generation nuclear reactor, a molten salt reactor, behaves under various conditions. Particular attention is paid to aspects of the reactorâs performance that could have an impact on its safe operation. This research focuses on how the various properties of the reactor evolve in time after a change to the reactorâs operating configuration is made. The analysis is done using state-of-the-art computer codes and a multi-physics approach that model both the nuclear and thermal behaviour of the reactor.
Geothermal energy extracts heat from the ground which can be used directly, or converted into electricity. In a geothermal power plant hot water is extracted from an underground reservoir with a borehole, and geophysics is used to locate these reservoirs. In the planned research, a geophysical method called magnetotellurics (MT) will be used to image the subsurface of a geothermal prospect at Canoe Reach in British Columbia. This method measures the electrical resistivity of the subsurface and can detect locations where hot water is present.
Despite the monumental advances made in classical computing technology over the past decades, computationally expensive tasks are still presenting daunting challenges to researchers and industry. Quantum computing has the potential to revolutionize many facets of information technologies by pushing the frontiers in various fields ranging from machine learning to cryptography. This research project aims at designing and fabricating the fundamental building block of a quantum computer, a qubit, using industry standard nano-fabrication techniques.
Our previous work has shown the promise of monodisperse phytoglycogen for many applications. However, these experiments only scratch the surface of potential uses since the chemistry of the particles (as extracted) is fixed. Nanoparticles offer very high surface areas, and glucose units are easily modifiable, thus there exist a multitude of ways to chemically modify the surface to produce a wide variety of new material properties.
There is much about the brain we still do not understand. But, one fundamental way to understand how the brain works is to know normal range of activity. For example, how does your physician know that you have normal blood pressure? Similarly, why did the medical community choose 120 over 80? The way we do that is to collect information from as many individuals as possible thousands upon thousands! When you collect information from many people, scientists are able to paint a very clear picture of how blood pressure (or any variable of interest) varies across many people.
The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems.
Quantum circuit components will always be unreliable. To protect quantum information from becoming corrupted, we require quantum error correcting codes. The drawback is that quantum error correcting codes necessitate a trade-off the better the code protects information, the more resources it requires to be sustained. Our current resource estimates to construct useful quantum circuits seem insurmountable.It was recently shown that if a certain class of error correcting codes, called quantum LDPC codes, were to exist, then they could potentially lower resource requirements significantly.
The change in the time intervals between adjacent heartbeats is known as Heart Rate Variability (HRV). The HRV of a well-conditioned heart is generally large at rest, whereas low HRV has been associated with adverse outcomes/conditions, including congestive heart failure, diabetic neuropathy, depression, and hospital admissions.
The objective of this project is to design and build a new prototype device attachable to a smartphone camera employing a novel method of illumination to enable acquiring high quality images of the skin without surface contact. By replacing the precise optical and lighting components currently used in the companys existing product MoleScope, this design will allow manufacturing a new device at considerably lower cost. The new device also requires a universal attachment system for several different smartphones, as the camera is located in different positions on every model.
Use of aluminum alloys in the automotive industry comes with huge manufacturing challenges such as instability of spot welding processes. To overcome this challenge, frequent selective quality tests are performed in industry usually by destructive means, which are labour intensive and costly due to its nature. Non-destructive testing (NDT) of aluminum spot welds can decrease these costs. This proposed spot welding NDT method will incorporate an ultrasonic probe in the welding electrode, which is fully automated and each spot weld tested at the moment of manufacture.