Statistical Physics and Complexity

Statistical mechanics is a major theoretical tool we use for the understanding of complex systems. There has in recent years been a shift away from purely equilibrium problems to working on systems that are out of equilibrium. Here in Edinburgh we conduct a wide programme of fundamental work on model systems which addresses the many novel principles of non-equilibrium physics: for example, true phase transitions can arise even in one dimension. Our work also has direct relevance to a wide range of other disciplines besides physics, for example, biology, ecology and linguistics.

Researchers

Rosalind Allen

+44 (0)131 651 7197

Tibor Antal

+44 (0)1316 517672

Richard Blythe

+44 (0)131 650 5105

Martin Evans

+44 (0)131 650 5294

Davide Marenduzzo

+44 (0)131 650 5289

Jérôme Michaud

Peter Mottishaw

+44 (0)131 650 5881

Bartlomiej Waclaw

+ 44 (0) 131 651 7688

Associates

Bernard Derrida

Ecole Normale Supérieure, Paris

+33 1 44 32 33 58

Bruno Eckhardt

Philipps-Universität Marburg

+49 (6421) 28 21316

Ronald Larson

University of Michigan

+1 734 936 0772

Satya Majumdar

University of Paris-Sud

+33 016 915 6465

Sriram Ramaswamy

TIFR, Hyderabad

+91 402 419 3666

John Toner

University of Oregon

1-541-346-0979

Affiliates

John Chalker

University of Oxford

+44 (0)1865 273973

Fabian Essler

University of Oxford

+44 (0)1865 273971

Andrew Green

London Centre for Nanotechnology

+44 (0)20 7679 0604 ext 31377

Chris Hooley

University of St Andrews

+44 (0)1334 463171

Des Johnston

Heriot-Watt University

+44 (0)131 4513255

Jonathan Keeling

University of St Andrews

+44 (0)1334 463121

Andy Schofield

University of Birmingham

+44 (0)121 414 4565

Peter Sollich

King’s College London

+44 (0)20 7848 2875

PhD Students

Giovanni Brandani

Francesco Cagnetta

Giulio De Magistris

Ana Fialho

Martina Foglino

Yair Fosado

James Hitchen

James Johnson

Elliot Marsden

Mairi McKay

Eoin Ó Laighléis

Chay Paterson

Carolina Pereira

Alexander Slowman

Justin Whitehouse

+44 (0)131 651 7686

Oliver Wiese