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Undergraduate students are sought to carry out AI driven modeling research on designing next-generation energy materials. The project will encompass the modeling of interfacial reactivity via state-of-the-art computational methods. The goal of this research is to devise new methods for improving performance of Li-ion batteries and photoelectrochemical devices, through the use of electrochemical devices and materials. Two projects independently tackle applications relating to the storage of electrical energy in Li-ion batteries and photoelectrochemical devices. By utilizing and developing AI augmented simulation tools of atomistic processes, the intern will gain experience in understanding how fundamental processes determine the overall high-level operational limitations of new energy technologies. This research process is based on the famed "Bell Labs Model", whereby a key scientific problem is tackled/solved with the aim of enabling a new important technology (or suite thereof). In this project, the key fundamental problem is storage of electrons in materials and associated electron transfer mechanisms both with & without photoexcitation. The interns will work under the close training guidance of a senior doctoral student and/or postdoctoral fellow, as well as the faculty member, and gain expertise in device modelling, physics/chemistry, materials science, and high-performance computing.

Simulating electrochemical reactions augmented by AI methods.

Excavation into hard rocks remains a significant challenge in the mining industry. Among the innovative solutions, microwave treatment stands out as one of the rock pre-conditioning methods due to its unique heating mechanism, offering potential improvements in mining excavation efficiency. This project focuses on applying microwave treatment to enhance rock breakage and excavation processes. Students will work in the geomechanics laboratory, utilizing state-of-the-art equipment to study the mechanical and physical properties of rocks. Laboratory activities will include microwave treatment, measurements of physical characteristics such as porosity and density, thermal properties like heat capacity and thermal conductivity, and strength parameters, including Uniaxial Compressive Strength, Triaxial Compressive Strength, Brazilian Tensile Strength, Point Load Test, and Fracture Toughness. Strain gauging techniques, including sample preparation, strain gauge installation, and stress-strain data analysis, will be employed to determine deformation characteristics like elastic modulus and Poisson鈥檚 ratio. This project provides a hands-on learning experience in experimental design and practices critical to the mining industry. Participants will gain expertise in operating specialized laboratory equipment, analyzing experimental data, and understanding the fundamental principles of rock behavior. By the end of the program, students will make meaningful contributions to research advancing sustainable and energy-efficient practices in mining. This opportunity is ideal for motivated students with a strong interest in engineering and geoscience, offering a solid foundation for future academic and professional endeavors.

Rock sample preparation, rock index testing, rock mechanical testing, thermal properties measurement, microwave treatment experiment

Poly(etheretherketone) (PEEK) is a sturdy, inert polymer used in craniofacial reconstruction and spine cages. It has great potential in other implant applications, but its used is limited by its poor integration with surrounding tissues. Our group pioneered PEEK surface modification using a technique called diazonium chemistry, and we showed improvement in both hard and soft tissue integration. In this project we will explore further modifications to help integration between PEEK and soft tissues, with the final goal of creating PEEK-based dental implants that will overcome current titanium implant challenges, especially the risk of failure due to infections.

Modify the surface of PEEK disks with different methods to be discussed with PI and student supervisor; characterize resulting surfaces with techniques including for example SEM, FTIR, Raman, etc; perform literature reviews.

Calcium phosphate minerals similar to those found in our bones and teeth can also form in tissues that are normally soft, such as heart valve leaflets or arteries. When this happens, the heart is stressed more than usual, due to the stiffened calcified valves and blood vessels, leading to greater morbidity and mortality in people affected.

There is currently no cure for this type of pathological calcification, to a great degree also because we do not understand the underlying biological mechanism.

Among the calcium phosphate minerals found in these calcifications, a magnesium containing calcium phosphate called whitlockite is also sometimes observed. We are quite intrigued by this mineral since it is never found in physiological calcifications, and we believe understanding something about this mineral's origin and its correlation with disease may allow us to better understand the overall mechanism of pathological mineral formation.

In this project you will create in-vitro laboratory models to simulate the process of whitlockite formation in the cardiovascular system, to try and mimic what happens in our body during pathological calcification.

Create different model systems for whitlockite formation, exploring pH, presence of various biomolecules, and other factors. Characterize mineral formation in these systems using for example SEM, FTIR, Raman, etc. Perform literature reviews. Depending on time and need, the student may also have to characterize some human or animal-derived pathological calcified samples.