معرفی
Kenneth Vos serves as an Associate Professor in the Department of Physics and Astronomy at the University of Lethbridge, maintaining weekday office hours from 3:00 PM to 5:00 PM. He is contactable via office phone (403) 329-2191, lab phone (403) 329-5116, or email k.vos@uleth.ca.
Education
- B.Sc. in Physics (Honors), 1987, University of Alberta
- Ph.D. in Theoretical Physics, 1992, University of Alberta
- NSERC Postdoctoral Fellowship, 1992-1994, Queen's University
Research Interests
Dr. Vos specializes in theoretical condensed matter physics with intense focus on strongly correlated electron systems (SCES), which encompass high-temperature superconductors and materials critical to modern technology including computer hard drives and cellular communications. His work develops theoretical models to predict material behavior under varying conditions (temperature, electrical current), validating these against experimental data to uncover fundamental physics. A significant research thrust examines anisotropic effects in Copper Oxide compounds to explain doping-dependent properties that isotropic models fail to capture, addressing one of physics' most challenging contemporary domains.
Scientific Awards
- NSERC Postdoctoral Fellowship (1992-1994)
Advising and Grants
While the provided text specifies no current students or explicit grant funding beyond historical context, Dr. Vos conducts ongoing basic research in SCES with implications for technological applications. His theoretical modeling approach requires computational resources typically supported by institutional or research council funding, though specific current grants aren't documented in the source material.
Labs and Teams
Dr. Vos operates a dedicated laboratory at the University of Lethbridge (contact: 403-329-5116) within the Physics and Astronomy Department. His research team focuses on computational modeling of condensed matter systems, analyzing theoretical frameworks for electron correlations and anisotropic material behaviors through mathematical simulations and data validation against experimental results.
