ULB

The Meeting

Mathematical statistical mechanics, and in particular the theory of spin systems, has seen
significant advances in recent years. The aim of this school is to introduce PhD students and
young post-docs to some of the current relevant topics in spin systems. The core of the school
are two mini courses, each consisting of five 90-minute lectures:

Roland Bauerschmidt (Cambridge) will talk about continuous spin systems.
Hugo Duminil-Copin (Paris / Geneva) will talk about discrete spin systems.

There will also be some invited talks in the general topic area of the school. In addition,
participants will be given the opportunity to deliver contributed talks, with a duration
of either 30 minutes or 10 minutes, depending on preference and academic experience.


The venue is building S2 08, Hochschulstraße 4, 64289 Darmstadt (google maps).


Confirmed speakers

Roland Bauerschmidt
University of Cambridge
Hugo Duminil-Copin
Paris / Genève
Margherita Disertori
Universität Bonn
Antti Knowles
Université de Genève
Igor Kortchemski
École Polytechnique, Paris
Aran Raoufi
Paris / Genève
Roman Kotecky
Warwick / Prague

Target Audience

The spring school is primarily aimed at PhD studens and postdocs, but everybody
is welcome to attend. Participants will be given the opportunity to deliver contributed talks.
Financial support will be offered to selected participants to cover travel and accommodation
costs for the spring school.
Details regarding the application for financial support can be found on the registration page.

Previous schools

The school is a continuation of the Winter and Spring schools

"Spatial Models in Statistical Mechanics" February 24 - 28, 2014
"Stochastic Analysis of Spatially Extended Models" March 23 - 27, 2015
"Geometric models in probability" April 4 - 8, 2016
"Probability in mathematics and physics " March 27-31, 2017

held at TU Darmstadt.


Organizers

Frank Aurzada (Darmstadt)
Volker Betz (Darmstadt)
Matthias Meiners (Innsbruck)

Sponsors

Allianz der Rhein-Main Universitüten Fachbereich Mathematik