Dear organizers, Dear participants,

We have been informed of scamming actions. Please note that CECAM has not authorized any travel agency to act on its behalf. You should never give out your credit card details in order to secure your hotel reservation or perform any other actions relative to a CECAM workshop/school organisation.

Please inform us if you have received a suspicious phone call/email.

We are trying our best to identify the source.

Kind regards,
CECAM team.

New methods in Monte Carlo simulations: parallel, adaptive, irreversible

Location : CECAM-HQ-EPFL, Lausanne, Switzerland
September 2, 2019 – September 4, 2019

The Monte Carlo method is well established and broadly used in a wide range of disciplines. The Metropolis-Hastings algorithm provides a nearly universal solution to the problem of importance sampling. Cluster algorithms have been devised to beat critical slowing down at continuous phase transitions, multicanonical simulations allow to study phase coexistence at first-order transitions. These and further successes notwithstanding, significant challenges remain and the field has continued to develop in a dynamic fashion.  Recent exciting advances in simulation methods include improvements to the Markov chain method as the workhorse of Monte Carlo simulations, such as event-chain techniques, fast methods for treating systems with long-range interactions, simulations replacing the diffusive motion implied by detailed balance with a semi-ballistic movement achieved through lifting, and perfect sampling ensured through coupling-from-the-past. Other approaches such as population annealing dispose with the concept of Markov chains altogether and achieve improved equilibration together with near perfect parallel scalability through the use of sequential Monte Carlo. This workshop will provide an overview of the state-of-the-art in Monte Carlo simulations in statistical physics, identify the open challenges in the field, and work towards their solution through intense discussions and exchange of ideas between researchers working on different strands of methods.


Youjin Deng, USTC, Hefei, China
Alexander Hartmann, University of Oldenburg, Germany
Koji Hukushima, University of Tokyo, Japan
Wolfhard Janke, University of Leipzig, Germany
Werner Krauth, ENS Paris, France
Faming Liang, Purdue University, West Lafayette, U.S.A.
Junwei Liu, HKUST, Hong Kong, China
Jon Machta, University of Massachussetts, Amherst, U.S.A.
Manon Michel, Ecole Polytechnique, Palaiseau, France
Lev Shchur, Landau Institute for Theoretical Physics, Chernogolovka, Russia
Simon Trebst, University of Cologne, Germany
Peter Virnau, Johannes Gutenberg University, Mainz, Germany
Wenlong Wang, KTH, Stockholm, Sweden
Martin Weigel, Coventry University, UK
David Wilson, University of Washington, Seattle, U.S.A.
Thomas  Wüst, ETH Zurich, Switzerland
Johannes Zierenberg, MPI-DS, Göttingen, Germany

Coming soon

To apply please click here

To submit an abstract please click here