Abbreviation: | SigmaPhi |
Country: | International |
Frequency: | Triennial |
Website: | http://www.sigmaphi.polito.it/ |
Chairperson: | Giorgio Kaniadakis |
The SigmaPhi International Conference on Statistical Physics is a triennial conference series on statistical physics organized by the Politecnico di Torino, Italy, chaired by Giorgio Kaniadakis.[1] The conferences, which take place every three years in Greece, are an influential forum for discussing the foundations and theoretical aspects of classical, quantum, and relativistic statistical physics and thermodynamics, as well as their applications to physical and non-physical systems. The number of participants has increased recently, coming from 52 countries in the last conference. The esteemed SigmaPhi Prizes are presented during this conference, and numerous satellite workshops and special sessions are typically conducted alongside the main event.
Conference | Site | Date | Notes |
---|---|---|---|
3rd NEXT-SigmaPhi | Kolymbari, Crete, Greece | August 1318, 2005 | [2] |
SigmaPhi 2008 | Kolymbari, Crete, Greece | July 1418, 2008 | [3] |
SigmaPhi 2014 | Rhodes, Greece | July 1115, 2014 | [4] |
SigmaPhi 2017 | Corfu, Greece | July 1014, 2017 | [5] |
SigmaPhi 2023 | Chania, Crete, Greece | July 1014, 2023 | [6] |
The SigmaPhi Prize was established in 2011 by the SigmaPhi Conference to recognize outstanding achievements in the field of statistical physics. The award ceremony takes place every three years at the beginning of the conference, and each awardee receives a certificate. This prize is primarily an honorary title and has so far been awarded to individuals of the highest scientific standing, including Ralf Metzler, David Mukamel, Stefano Ruffo, Itamar Procaccia, Eugene Stanley, Amnon Aharony,[7] David K. Campbell, Hartmut Löwen, Chandan Dasgupta, Jürgen Kurths, Giorgio Parisi and John Michael Kosterlitz, the latter two being Nobel laureates.
The SigmaPhi conference encompasses a diverse array of subjects, which are divided into three broad areas.
This area explores the foundations and theoretical aspects of classical, quantum, and relativistic statistical physics and thermodynamics, including mathematical methods, formalism, rigorous results, and connections with high energy physics, string theory, mathematical statistics, and information theory.
This area covers applications in physical systems such as quantum systems, soft condensed matter, liquid crystals, plasmas, fluids, surfaces, interfaces, critical phenomena, and chemical reactions.
This area covers interdisciplinary applications in statistical physics, networks, biophysics, genomics, environment models, seismology, linguistics, econophysics, social systems, traffic flow, algorithmic problems, and complex systems.