Demonstrating expansion of the State of the Art:
- Framework to understand and predict multi-component solid forms from first principles
- Deciphering nanoscale design rules of macromolecular self-assembly
- Mathematical modelling of physicochemical processes
- Multi-Scale Simulations of Flow and Crystallisation in Industrial Crystallisers
Computational Fluid Dynamics techniques provide a better understanding of the dynamics of both the local phenomena and processes (by means of completely resolving them, in DNSs) and the overall flow and mixing behaviour of process equipment (by using advanced models).