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ur research group is in the
Inorganic and Materials Division of the Department of Chemistry at the University of Alberta.
Our group currently consists of one research associate, three postdoctoral fellows, and six graduate
POSITIONS ARE AVAILABLE FOR GRADUATE AND UNDERGRADUATE STUDENTS INTERESTED IN INORGANIC SOLID-STATE AND MATERIALS CHEMISTRY.
See also research descriptions in these programs:
ATUMS: Alberta / Technical University of Munich International Graduate School
Future Energy Systems: High-throughput Materials Discovery through Materials Genomics
Approaches to Materials Discovery in Inorganic Solid State Chemistry
e study inorganic solids, which form the basis of many of today's technological applications. How do metals and metalloids combine to form these new solids (called intermetallic compounds)? Surprisingly, it is still not easy to predict how elements (especially metals) react with each other, what structures they adopt, and what physical properties they possess. For some specific solids, chemists have been successful in applying strategies to "design" new compounds, such as manipulating building blocks or identifying missing members within related series. Because these strategies rely on precedent, by definition, they cannot foresee surprising or counterintuitive results. Exploratory work is essential for expanding our knowledge base.
Experimental methods include high-temperature reactions (up to 1000 C), X-ray diffraction, spectroscopy, physical property measurements, and quantum calculations. Students trained in these diverse skills, which lie at the interface of chemistry, physics, and materials science, are well suited for careers in advanced materials research.
As relationships between compositions, structures, and properties grow more complex, eventually the pattern recognition skills become too difficult for humans to handle. To complement these traditional approaches, we propose that machine-learning methods may serve as an alternative approach to discover new materials, more reliably and much faster.
Using both these approaches, we will synthesize new compounds of various metals and metalloids (such as Ge, As, and Se). Building on our past interest in developing thermoelectric materials, which can convert waste heat to electricity, we have several exciting new applications in mind for compounds to be targeted. First, we want to evaluate various arsenides as potential host structures in which small amounts of magnetic atoms can be added to give rise to ferromagnetic semiconductors, which could be used in spintronic devices to build more powerful computers. Second, we are designing selenides and related compounds with special structures so that they can be used as nonlinear optical materials to fabricate infrared lasers for sensing explosives or performing selective surgical procedures. Third, we want to discover new coloured intermetallics, which are exceedingly rare but highly valued for their beauty. All of these applications have the potential to impact sectors such as energy, information, technology, environmental sustainability, and defense. Our broader vision is that these approaches can be generalized to other types of materials so that scientists can combine the wisdom of humans and the efficiency of machines to gain a deeper understanding of nature, to unravel the hidden relationships between structures and properties, and to accelerate materials discovery.
pecific research projects under investigation appeal to students with interests in inorganic synthesis, crystallography, physical property characterization, and theoretical analysis.
- Machine-learning appraoches to materials discovery
- Structural chemistry of phosphides, arsenides, antimonides, and bismuthides; gallides and germanides; sulfides, selenides, and tellurides; even halides
- "Metals in negative oxidation states": new anionic substructures of Hg, Au, Ga, Ge
- Electrical and magnetic properties of rare-earth transition-metal (f-d) intermetallics
- Electronic structure analysis by experimental X-ray spectroscopy and theoretical calculations
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