• University of Birmingham Featured PhD Programmes
  • University College London Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Nottingham Featured PhD Programmes
  • Brunel University London Featured PhD Programmes
  • University of Warwick Featured PhD Programmes
  • Ross University School of Veterinary Medicine Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
University of Strathclyde Featured PhD Programmes
Heriot-Watt University Featured PhD Programmes
Cardiff University Featured PhD Programmes
EPSRC Featured PhD Programmes
University of Reading Featured PhD Programmes

Exploring Stochastic thermodynamics with cold atoms in optical traps

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Prof Ferruccio Renzoni
  • Application Deadline
    Applications accepted all year round

Project Description

The theory of equilibrium statistical mechanics is well established, and found direct or indirect confirmation in a wide range of experiments. This is not the case for the emerging field of non-equilibrium statistical mechanics. In this case, a general theory has yet to be formulated, although a number of theorems (e.g. fluctuations and work theorems) have been introduced to link different physical quantities in systems out of equilibrium.

The aim of the proposed research is to develop further, through proof-of-principle experiments with optical traps, the foundations of non-equilibrium statistical mechanics, with a view of a unified description. Besides the fundamental issue of the extension of statistical mechanics to out-of-equilibrium systems, the proposed research also aims to explore possible practical implications. Specifically, we also aim to use the available knowledge, as well as the new one acquired in the context of the proposed project, to design new devices ("nanomachines"). In fact, non-equilibrium statistical mechanics allows to determine the optimal conditions for the operation of nanodevices, i.e. devices operating at such a small scale that the fluctuations become relevant.

The PhD is fully funded for three years (stipend + fees).

For information please contact:

Prof. Ferruccio Renzoni [[email protected]]

Funding Notes

The PhD is fully funded for three years (stipend + fees).

Share this page:

Cookie Policy    X