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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

March 28, 2013

Speaker: Rachel Wortis, Trent University

Title: Disorder, Interactions and Zero-Bias Anomalies

Abstract: Many of the most interesting electronic behaviours arise in materials with strong electron-electron correlations. Many of these same materials are disordered either intrinsically or due to doping. The study of how electrons behave in the presence of both disorder and interactions has a long history, yet the regime of strong disorder and strong interactions remains poorly understood. The density of states is one measure of the electrons which is readily accessible to both theorists and experimentalists. The combination of disorder and interactions is known in a number of contexts to generate a feature in the density of states at the Fermi level, a zero-bias anomaly. Experiments on strongly correlated materials and recent numerical results on the Anderson-Hubbard model, however, show behaviour which is inconsistent with existing theoretical descriptions.

This talk will present progress towards a new framework for understanding zero-bias anomalies in strongly correlated systems.