Statistical Physics

Statistical Physics

Focus of our research

Led by Professor Ralph Kenna, the Statistical Physics group was originally established in 2006.

We have an international reputation in classical and quantum statistical physics, including liquid crystals and polymers. Alongside these cohesive interests, our team are renown as pioneers in interdisciplinary research of complex systems. We collaborate worldwide in biophysics, computational physics, cosmology, informatics, sociophysics, transport and narrative networks.

If you wish to find out more about our research, please contact Professor Ralph Kenna.

Key researchers

Name Research specialism Email
Professor Ralph Kenna Statistical physics, phase transitions, critical phenomena, sociophysics, complex systems
Professor Damien Foster, Executive Director of the Centre for Computational Science and Mathematical Modelling Critical phenomena and phase transitions, polymer physics, soft-matter physics, computational modelling
Dr Nikolaos Fytas Statistical Physics, disordered systems, condensed matter physics, soft matter physics
Dr Charo del Genio Network Science, graph algorithms, molecular dynamics, protein biophysics, computational physics
Professor Eun-jin Kim Non-equilibrium processes, complex systems, self-organisation, information theory, turbulence
Dr Robert Low General relativity, causality,  Lorentz geometry, ranking methods
Dr Thierry Platini Biophysics, statistical physics, non-equilibriul quantum systems, mathematical puzzles,
Dr Sascha Wald Non-equilibrium quantum systems, collective behaviour, quantum stochastic calculus, phase transitions, network dynamics
Dr Taras Yavorskyi Statistical physics, frustrated magnetism, complex systems, emergence, model validation

Project spotlight

In recent years, statistical physicists have increased their interests in other disciplines motivated by how properties of complex systems emerge nontrivially from interactions between component parts.

Find out more about some of our projects:

Sword throne

Maths Meets Myths

Quantifying narratives through statistical physics to examine social structures in some of the world’s best-known myths and legends, to investigate how content is based on real-life patterns of relationships.

The Sun, half way through it's main-sequence evolution.

Variability & Self-Organisation in Stellar Evolution

Combining the novel concepts of self-organisation and probability density functions to understand and model explosive solar/stellar flare.

 Queen’s Award for Enterprise Logo
University of the year shortlisted
QS Five Star Rating 2020
Coventry City of Culture 2021