The Computational Modelling (CoMo) group is leading the development of new numerical methods. These include methods for solving multimensional population balances based on the stochastic particle method, and solving stochastic reactor models (SRMs) which allow for fluctuations in physical quantities within a reactor model.
In addition to developing our own numerical methods we also use a wide range of techniques to complement them. These include quantum chemistry to provide essential chemical kinetic information and advanced computational fluid dynamics (CFD) to include these multidimensional population balances
Combining the above tools and techniques allows us to model a wide range of engineering situations spanning length and time scales from the molecular to the industrial. Principle areas of research are internal combustion engines including novel HCCI systems; nanoparticle synthesis including soot, carbon nanotubes, and inorganic nanoparticles; and particle systems including industrial spray dryers, granualtion.
The CoMo Group is also active in developing and researching the use of new web-based teaching methods in Chemical Engineering, including web-labs allowing real life experiments to be controlled over the world wide web.
The research of the group can be divided into different fields. Use the menu for an introduction to the work and for details of relevant preprints and papers.
Funding is gratefully acknowledged from the following sources: