Scientific Calendar Event



Description
An ICTP Virtual School, 1st edition

Note: The lectures will be held once a week over 4 weeks on Wednesday in the early afternoon, CET time.

The Conference is live-streamed on the ICTP Condensed Matter and Statistical Physics YouTube page at the following link:
https://youtu.be/yOzs9scDgM8

Due to great interest, the deadline for applications is extended to 15 December 2020.

This online school is the first in a series of events to be held during 2021 under the joint title “The Hitchhiker's Guide to Condensed Matter and Statistical Physics” whose goal is to sketch a roadmap of current exciting research directions in Condensed Matter and Statistical Physics.

These events are aimed at advanced undergraduate and graduate students, as well as young researchers interested in learning more about different subjects, both from the developing world and elsewhere.

The lectures will be held once a week over 4 weeks in January and February 2021 and will lead the students from basic notions to the open problems in each topic. Each week one of the four lecturers will present 1h of basic notions + 1h of a colloquia style lecture, with ample time for discussions.

The first series of lectures will be dedicated to Machine Learning (ML) and its intersections with Condensed Matter and Statistical Physics. How can statistical physics help in understanding the theory behind ML techniques? What are the most fruitful applications of ML methods to condensed matter physics? The lectures will answer these and other questions related to ML and many-body quantum systems, quantum computing, and material physics.

Lecturers:
G. CARLEO, EPFL, Switzerland
J. CARRASQUILLA, Vector Institute for Artificial Intelligence, Canada
B. CHENG, University of Cambridge, United Kingdom
D. SCHWAB, The Graduate Center, CUNY, USA

Tutors:
T. CAN, The Graduate Center, CUNY, USA
W. NGAMPRUETIKORN, The Graduate Center, CUNY, USA
F. VICENTINI, EPFL, Switzerland

Basic notions sessions will be held before the main lectures.

Registration: There is no registration fee.
 

Go to day
  • Wednesday, 13 January 2021
    • 14:00 - 16:30
      • 14:00 Welcome remarks by the Organizers and the ICTP Director Prof. Atish Dabholkar 15'
      • 14:15 Basic Notions: Statistical physics of machine learning 1h0'
        Speakers: Wave NGAMPRUETIKORN (The Graduate Center, CUNY, USA), Tankut CAN (The Graduate Center, CUNY, USA)
        Material: Slides
      • 15:15 Break 15'
      • 15:30 Lecture: Effective forces from noisy training 1h0'
        Speaker: David SCHWAB (The Graduate Center, CUNY, USA)
  • Wednesday, 20 January 2021
    • 14:00 - 16:15
      • 14:00 Basic Notions: Computing thermodynamic and transport properties using machine learning potentials 1h0'
        Speaker: Bingqing CHENG (University of Cambridge, United Kingdom)
        Material: Slides Video
      • 15:00 Break 15'
      • 15:15 Lecture: Computing thermodynamic and transport properties using machine learning potentials 1h0'
        Speaker: Bingqing CHENG (University of Cambridge, United Kingdom)
        Material: Slides Video
  • Wednesday, 27 January 2021
    • 12:30 - 14:45
      • 12:30 Basic Notions: Machine learning many-body quantum physics 1h0'
        Speaker: Filippo VICENTINI (EPFL, Switzerland)
        Material: Slides Video
      • 13:30 Break 15'
      • 13:45 Lecture: Machine learning many-body quantum physics 1h0'
        Speaker: Giuseppe CARLEO (EPFL, Switzerland)
        Material: Video
    • 16:00 - 18:00 ICTP Salam Distinguished Lectures 2021
      The Lecture Series are scheduled as follows:
      
      *Wednesday 27 January at 16.00 hrs: "What the Universe? Baby Picture Reveals About Fundamental Physics"
      http://indico.ictp.it/event/9500/
      
      *Thursday 28 January at 16.00 hrs: "Our Simple Strange Universe?"
      http://indico.ictp.it/event/9501/
      
      *Friday 29 January at 16.00 hrs: "Determining the Universe?s Initial Conditions"
      http://indico.ictp.it/event/9502/
      • 16:00 Lecture 1: "What the Universe’s Baby Picture Reveals About Fundamental Physics" 2h0'
        Speaker: Davide SPERGEL (Center for Computational Astrophysics, USA)
  • Wednesday, 3 February 2021
    • 14:00 - 16:15
      • 14:00 Basic Notions: Recurrent neural networks for many-body physics 1h0'
        Speaker: Juan CARRASQUILLA (Vector Institute for Artificial Intelligence, Canada)
        Material: Video
      • 15:00 Break 15'
      • 15:15 Lecture: Recurrent neural networks for many-body physics 1h0'
        Speaker: Juan CARRASQUILLA (Vector Institute for Artificial Intelligence, Canada)
        Material: Video