Format results
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Talk
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Lecture - Statistical Physics, PHYS 602
Emilie Huffman Perimeter Institute for Theoretical Physics
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Lecture - Statistical Physics, PHYS 602
Emilie Huffman Perimeter Institute for Theoretical Physics
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Talk
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Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24100001 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
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Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090013 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090012 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090011 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090010 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090009 -
Lecture - Classical Physics, PHYS 776
Aldo Riello Perimeter Institute for Theoretical Physics
PIRSA:24090008
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Talk
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Machine Learning Lecture
Damian Pope Perimeter Institute for Theoretical Physics
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Talk
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Talk
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Dark Matter and Particle Physics
Luna Zagorac Perimeter Institute for Theoretical Physics
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Cosmology
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Matthew Johnson York University
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Jessica Muir Perimeter Institute for Theoretical Physics
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Talk
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Looking for Quantum-Classical Gaps in Causal Structures
Marina Maciel Ansanelli Perimeter Institute for Theoretical Physics
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Geometry of Process Matrices
Fionnuala Ni Chuireain Institute of Photonic Sciences (ICFO)
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Improving 3D Codes under Biased Noise
Eric Huang University of Maryland, College Park
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Illuminating the pair-instability supernova mass gap with super-kilonovae
Aman Agarwal University of Greifswald
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Reflecting scalar fields in numerical relativity
Conner Dailey Perimeter Institute for Theoretical Physics
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Talk
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Welcome and Opening Remarks
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Matthew Johnson York University
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Cheng-Ju Lin University of Maryland, College Park
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Tsung-Cheng (Peter) Lu
Tsung-Cheng Lu (Peter) University of Maryland, College Park
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Roland Bittleson
Roland Bittleston Perimeter Institute for Theoretical Physics
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Suvodip Mukherjee
Suvodip Mukherjee Tata Institute of Fundamental Research (TIFR)
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Talk
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Welcome and Opening Remarks
Anna Heffernan University of the Balearic Islands
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Self force review
Maarten van de Meent Max Planck Institute for Gravitational Physics - Albert Einstein Institute (AEI)
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Discontinuous collocation methods and self-force applications
Charalampos Markakis Queen Mary University of London
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Conformal numerical method for self force applications in the time domain
Lidia Joana Gomes Da Silva Queen Mary University of London
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Kerr self-force via elliptic PDEs: Background and theory (part 1)
Nami Nishimura State University of New York (SUNY)
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Kerr self-force via elliptic PDEs: Numerical methods (part 2)
Thomas Osburn State University of New York (SUNY)
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A multi-mode time-domain surrogate model for gravitational wave signals from comparable to extreme mass-ratio black hole binaries
Tousif Islam University of Massachusetts Dartmouth
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Fast Self-Forced Inspirals into a Rotating Black Hole
Philip Lynch National University of Ireland
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Talk
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PSI 2019/2020 - Quantum Matter Part 2 - Lecture 2
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 2 - Lecture 1
Alioscia Hamma University of Naples Federico II
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Talk
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PSI 2019/2020 - Computational Physics - Lecture 15
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 14
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 13
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 12
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 10
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 8
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 7
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2019/2020 - Computational Physics - Lecture 6
Erik Schnetter Perimeter Institute for Theoretical Physics
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Talk
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 18
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 17
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 16
Alioscia Hamma University of Naples Federico II
PIRSA:20010042 -
PSI 2019/2020 - Quantum Matter Part 1 - Lecture 15
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 14
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 13
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 12
Alioscia Hamma University of Naples Federico II
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PSI 2019/2020 - Quantum Matter Part 1 - Lecture 11
Alioscia Hamma University of Naples Federico II
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Statistical Physics (Core), PHYS 602, October 7 - November 6, 2024
The 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. Instructor: Emilie Huffman / Maite Dupuis Students who are not part of the PSI MSc program should review enrollment and course format information here: https://perimeterinstitute.ca/graduate-courses -
Classical Physics (Core), PHYS 776, September 3 - October 4, 2024
This 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. Instructor: Aldo Riello Students who are not part of the PSI MSc program should review enrollment and course format information here: https://perimeterinstitute.ca/graduate-courses -
Machine Learning 2023/24
Machine 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 many-body physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. -
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Postdoc Welcome 2021
As COVID-19 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 60-minute 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
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PSI 2019/2020 - Machine Learning for Many-Body Physics
PSI 2019/2020 - Machine Learning for Many-Body Physics -
PSI 2019/2020 - Quantum Matter (Part 2)
PSI 2019/2020 - Quantum Matter (Part 2) -
PSI 2019/2020 - Computational Physics
PSI 2019/2020 - Computational Physics -
PSI 2019/2020 - Quantum Matter Part 1
PSI 2019/2020 - Quantum Matter Part 1