Monte Carlo Algorithms in Statistical Mechanics

Joy Lukman

  • 28 Jun 2021 - 9 Jul 2021
    8:00 am - 5:00 pm

Organisers:
Nathan Clisby (Swinburne University of Technology)
Tim Garoni (Monash University)
Catherine Greenhill (UNSW)
Andrew Rechnitzer (University of British Columbia)
Ying Wai Li (Oak Ridge National Laboratory)

Program Description:
Monte Carlo sampling algorithms are a central tool in many areas of science. Statistical mechanics has long been, and continues to be, a fertile area for the development of new paradigms in Monte Carlo algorithms. This program will bring together Australian and international researchers from a variety of career stages, with leading experts and early career researchers working together. Participation of women researchers will be actively sought, and participants will be from diverse disciplines such as mathematical physics, computational physics, computer science, combinatorics, and probability. The aims of the program are to make progress on rigorously analysing Monte Carlo algorithms arising in statistical mechanics, explore connections between different algorithms, and seek the discovery of new algorithmic paradigms. This program consists of a one-week overview of the field, followed by a one-week workshop where participants will actively collaborate on open problems.

Program Structure: TBD

Registration:

  • Deadline: 27 April 2021
  • Registration is by invitation only. If you are interested to participate in this research program, please contact one of the organisers with your CV and research background.

ASSOCIATED EVENTS
MATRIX Wine and Cheese Afternoon 29 June 2021
On the first Tuesday of each program, MATRIX provides a pre-dinner wine and cheese afternoon. Produce is locally-sourced to showcase delicacies from the region.