The Computational Modelling (CoMo) group is leading the development of new numerical methods. These include methods for solving multi-dimensional 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 complement them with a wide range of well established techniques. 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. Principal areas of research are internal combustion engines including novel HCCI systems; nanoparticle synthesis including soot, carbon nanotubes, and inorganic nanoparticles; and particle processes including industrial spray dryers, granulation.
The CoMo Group is also active in developing and researching the use of new web-technologies, in particular in the field of Knowledge graphs. Furthermore, we have been working on innovative web-based teaching methods in Chemical Engineering, including web-labs allowing real-life experiments to be controlled over the world wide web.