Format results

Collection Number C25008

Numerical Methods (Core), PHYS 777, January 6  February 5, 2025
Collection Number C25001 
Statistical Physics (Core), PHYS 602, October 7  November 6, 2024
Collection Number C24033 
[O] Classic Physics (Core), PHYS 776, September 3  October 4, 2024
Collection Number C24031 
Machine Learning 2023/24
12 talksCollection Number C24027Talk

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics


Numerical Methods 2023/24
13 talksCollection Number C24004Talk

Scicomm Collider
5 talksCollection Number C23014Talk

Dark Matter and Particle Physics
Luna Zagorac Perimeter Institute for Theoretical Physics


Cosmology

Matthew Johnson York University

Jessica Muir Perimeter Institute for Theoretical Physics





Young Researchers Conference
17 talksCollection Number C22027Talk

Looking for QuantumClassical Gaps in Causal Structures
Marina Maciel Ansanelli Perimeter Institute for Theoretical Physics

Geometry of Process Matrices
Fionnuala Ni Chuireain Institute of Photonic Sciences (ICFO)

Improving 3D Codes under Biased Noise
Eric Huang University of Maryland, College Park

General Features of the Thermalization of Particle Detectors and the Unruh Effect.
Tales Rick Perche Perimeter Institute for Theoretical Physics


Illuminating the pairinstability supernova mass gap with superkilonovae
Aman Agarwal University of Greifswald

Reflecting scalar fields in numerical relativity
Conner Dailey Perimeter Institute for Theoretical Physics



Opening Academia: Perspectives on the Historical and Future Role of Women in Physics
Collection Number C22014 
Postdoc Welcome 2021
18 talksCollection Number C21007Talk

Welcome and Opening Remarks

Matthew Johnson York University

ChengJu Lin University of Maryland, College Park







Suvodip Mukherjee
Suvodip Mukherjee Tata Institute of Fundamental Research (TIFR)



The 24th Capra meeting on Radiation Reaction in General Relativity
77 talksCollection Number C21006Talk


Self force review
Maarten van de Meent Max Planck Institute for Gravitational Physics  Albert Einstein Institute (AEI)

Discontinuous collocation methods and selfforce applications
Charalampos Markakis Queen Mary  University of London (QMUL)

Conformal numerical method for self force applications in the time domain
Lidia Joana Gomes Da Silva Queen Mary  University of London (QMUL)

Kerr selfforce via elliptic PDEs: Background and theory (part 1)
Nami Nishimura State University of New York (SUNY)

Kerr selfforce via elliptic PDEs: Numerical methods (part 2)
Thomas Osburn State University of New York (SUNY)

A multimode timedomain surrogate model for gravitational wave signals from comparable to extreme massratio black hole binaries
Tousif Islam University of Massachusetts Dartmouth

Fast SelfForced Inspirals into a Rotating Black Hole
Philip Lynch National University of Ireland


PSI 2019/2020  Machine Learning for ManyBody Physics
2 talksCollection Number C20012Talk

PSI 2019/2020  Machine Learning for ManyBody Physics  Lecture 1
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

PSI 2019/2020  Machine Learning for ManyBody Physics  Lecture 2
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics


Machine Learning (Elective), PHYS 777, February 24  March 28, 2025
Collection Number C25008Machine learning has become a very valuable toolbox for scientists including physicists. In this course, we will learn the basics of machine learning with an emphasis on applications for manybody physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. 

Statistical Physics (Core), PHYS 602, October 7  November 6, 2024
Collection Number C24033The aim of this course is to explore the main ideas of the statistical physics approach to critical phenomena. We will discuss phase transitions, using the ferromagnetic phase transition and the Ising model as our primary example, with particular emphasis on the renormalisation group approach. 
[O] Classic Physics (Core), PHYS 776, September 3  October 4, 2024
Collection Number C24031This is a theoretical physics course that aims to review the basics of theoretical mechanics, special relativity, and classical field theory, with the emphasis on geometrical notions and relativistic formalism, thus setting the stage for the forthcoming courses in Quantum Mechanics, and Quantum Field Theory in particular, as well as in General Relativity and Quantum Gravity. 
Machine Learning 2023/24
12 talksCollection Number C24027Machine learning has become a very valuable toolbox for scientists including physicists. In this course, we will learn the basics of machine learning with an emphasis on applications for manybody physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. 



Opening Academia: Perspectives on the Historical and Future Role of Women in Physics
Collection Number C22014Opening Academia: Perspectives on the Historical and Future Role of Women in Physics 
Postdoc Welcome 2021
18 talksCollection Number C21007As COVID19 continues to impose gathering restrictions, the “Postdoc Welcome 2021” will continue as a virtual event this year and will be hosted on Thursday, October 28 and Friday, October 29. Each new postdoc will be given 5 minutes to introduce themselves to the PI Community. The time will be used to tell us a little bit about themselves and to showcase their current research. These presentations are very casual and should not be misconstrued as formal talks. Some discussion will follow the presentations, whereby current PI Residents may have the opportunity to ask questions.
There will be two 60minute sessions:
Thursday, October 28: 12:00 – 1:00 pm
Friday, October 29: 11:30 – 12:30 pmAll PI Residents are encouraged to attend. Registration will remain open until 9:00 am on Thursday, October 28.
Please register for the Postdoc Welcome via the event website: https://events.perimeterinstitute.ca/event/9/overview

The 24th Capra meeting on Radiation Reaction in General Relativity
77 talksCollection Number C21006 
PSI 2019/2020  Machine Learning for ManyBody Physics
2 talksCollection Number C20012PSI 2019/2020  Machine Learning for ManyBody Physics