📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Statistical mechanics of complex systems

Lead Research Organisation: University of Manchester
Department Name: Physics and Astronomy

Abstract

In this project we will use tools and ideas from statistical physics to study complex systems models in fields such as theoretical ecology,mathematical biology, and evolutionary dynamics. One initial question we will study concerns the stability of complex ecosystems with compartmented interaction structures. We will ask what features of such a system make equilibria stable or unstable respectively. To do this we will use techniques from the statistical physics of disordered systems, in particular random-matrix theory, generating-functional methods from spin glass physics, and numerical simulations. The novel physical sciences content consists in the further development of these mathematical methods, and their application to long-standing problems in theoretical ecology and other disciplines.

People

ORCID iD

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/T517823/1 30/09/2020 29/09/2025
2480934 Studentship EP/T517823/1 30/09/2020 31/03/2024