Martin Evans
Professor M R Evans
 Position
 Professor of Statistical Physics
 Category
 Academic staff
 Location

James Clerk Maxwell Building (JCMB)
Room 2615
 Email: m.evans [at] ed.ac.uk
 Tel: +44 (0)131 650 5294
 Personal home page
 Edinburgh Research Explorer profile
Martin is a member of the following School research institute and research areas:
Research institute
Research areas
Research interests
Professor Evans' research focusses on the statistical mechanics of nonequilibirum systems. Such systems are allpervasive in nature and form the central challenge of modern statistical physics  the classical assumptions of thermal equilibrium do not apply to most real world systems. Professor Evans has contributed to establishing a now vibrant and expanding field by elucidating the properties of simple mathematical models through various analytical and numerical techniques. These models, such as the asymmetric exclusion process and zerorange process which have proved fundamental in demonstrating unexpected phenomena such as nonequililbrium phase tranistions and are now used as baseline models for various biophysical systems. Current research initiative is to develop the application of these fundamental models to problems of biophysical transport, such as molecular motors, and to other complex nonequilibrium systems.
I have taught many courses at various levels within the University, mainly concerening Mathematical Physics and Statistical Physics. Most recently I have taught a Level9 Electromagnetism course to all Mathematical Physics, Physics and Theoretical Phyiscs undergraduates, details of which can be found at http://www2.ph.ed.ac.uk/~mevans/em/.
Martin currently offers the following PhD project opportunities:
Martin has featured in the following recent School news stories:
Recent publications
 , Journal of Physics A: Mathematical and Theoretical, 55, 27, p. 119
 , Journal of Physics A: Mathematical and Theoretical, 55, 20, p. 119
 , The European Physical Journal B, 94, p. 19
 Interparticle ratchet effect determines global current of heterogeneous particles diffusing in confinement DOI, Journal of Statistical Mechanics: Theory and Experiment, 2021, 1, p. 125
 Towards a microbial processbased understanding of the resilience of peatland ecosystem service provisioning – A research agenda DOI, Science of the Total Environment, 759