Experiments in Teaching Physics

Date

Friday March 3, 2023
1:30 pm - 2:30 pm

Location

STI A

Joanne O’Meara
University of Guelph & Co-Founder of Royal City Science

 

Abstract

Over the past decade we have made many changes to our undergraduate physics offerings at Guelph, for majors and non-majors alike. Our goal throughout has been to implement best practices from the Physics Education Research community, in such a way that we are mindful of resource implications. I will highlight some of the more significant changes we have made, such as designing and delivering an integrated course in first year that combines physics and calculus in a coordinated way, introducing gaming elements into our online course content for non-majors, and requiring all physics majors to take a course on communicating science to non-technical audiences. The seminar will also include a discussion of what we have learned about teaching during a pandemic, as well as plans for the future.

 

Origin of rigidity in biological tissues

Date

Friday February 17, 2023
1:30 pm - 2:30 pm

Location

STI A

M. Lisa Manning
Syracuse University

Abstract

In multicellular organisms, properly programmed collective motion is required to form tissues and organs, and this programming breaks down in diseases like cancer. Recent experimental work highlights that some organisms tune the global mechanical properties of a tissue across a fluid-solid transition to allow or prohibit cell motion and control processes such as body axis elongation. In this talk, I will highlight universal features that emerge from models developed to predict this collective behavior. I will also discuss a framework that suggests the origin of rigidity in tissues is similar to that in mechanical metamaterials, like origami, and different from those in standard materials like glasses or granular matter.

Timbits, coffee, tea will be served in STI A before the colloquium

 

Annie Xie at the 2023 CCUWiP conference

The Physics Department sponsored one of our undergraduate students, Annie Xie, to attend the 2023 CCUWiP (Canadian Conference for Undergraduate Women in Physics) at the University of Regina last month. Annie gave a talk, Population Coding: Solving Point-Like Non-Linearity, about some of her thesis work on solving nonlinear problems using population coding. This work is a new spin on using neural networks to solve non linear problems modelled as partial differential equations.

Article Category

Ultrastrong coupling of light and matter

Date

Friday February 10, 2023
1:30 pm - 2:30 pm

Location

STI A

Stephen Hughes
Queen's University

Abstract

Willis Lamb shared the (Physics) Nobel prize in 1955 for discoveries concerning the fine structure of the hydrogen spectrum, a “weak coupling” effect that played a pivotal role in the development of quantum electrodynamics (QED), and laser science. Around six decades later, in 2012, Haroche and Wineland shared the Nobel Prize for controlling individual photons and quantum systems using cavity-QED, in a “strong coupling” regime where the intrinsic quantum mechanical coupling between light and matter dominates any losses in the system. Recently, researchers have entered a new quantum light-matter interaction regime termed “ultrastrong coupling”, when the coupling rates between photons and matter are a sizable fraction of the electronic transition energies, where many of the standard light-matter theories and concepts developed for cavity-QED break down. This talk will give a brief overview of this exciting field, covering both theoretical and experimental developments, with a glimpse of emerging discoveries and applications in physics and (polaritonic) chemistry, including the ability to create entangled multi-photon matter states from nothing (vacuum).

Timbits, coffee, tea will be served in STI A before the colloquium

 

Ideas from the Trenches – Hunting Ghost Particles

PhD student Ben Tam is part of the team working on the SNO+ experiment – working two kilometers deep in a mine outside Sudbury to detect rare nuclear decays by looking for neutrinos. Neutrinos are difficult to detect, and require a huge, ultra-pure detecting medium and exquisitely sensitive sensors to see their interactions. Listen to Ben describe the experiment, and join him deep underground to understand the work of particle astrophysicists.

Listen to the hour-long program tonight:

Article Category

Imperfect Quantum Photonic Neural Networks

Quantum photonic neural networks are brain-inspired, nonlinear photonic circuits that can learn to tackle many key challenges emerging quantum technologies face. By combining the strengths of artificial intelligence and photonic integrated circuits, these networks can learn to perform near-deterministic, high fidelity (i.e., near 100% chance of success) quantum processing as would be necessary for fundamental elements of the future quantum internet, for example. However, proposals of the network to date have assumed that all of its components work perfectly.

Article Category