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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

November 25, 2009

Speaker: Dr. Peter Berg, Faculty of Science, Ontario Tech University

Title: Continuum models for nano-scale phenomena in polymer electrolyte membranes

Abstract: In this talk, we will explore continuum modelling approaches to investigate charge and mass transport in nano-pores of polymer electrolyte membranes (PEM), and the limits to their applicability. In particular, we will address whether proton-water complexes and proton-wall, proton-proton interactions can be modelled accurately in this context. Our focus will be on Poisson-Nernst-Planck equations, coupled to Navier-Stokes equations, which entail system parameters and boundary conditions that need to be chosen carefully. The applicability of such models would be of great advantage when considering PEM pore network models and their use in computing average (i.e. macroscopic) membrane properties such as conductivity or water drag. Their computational complexity is much lower than those of discrete models such as Brownian dynamics or (ab initio) molecular dynamics. 

Biography: ...

Disciplines: Mathematics, Physics