It is an unceasing challenge to reduce the time scale for development of new chemical products to the point of reliable manufacture and entrance into the market place. These processes however, are complex with process outcome being affected by a vast number of chemical and physical parameters; e.g. temperature, pressure, reagent stoichiometry, pH, heat and mass transfer affect quality and scalability making the definition of a chemical process at manufacturing scale a very challenging task.
This project will additionally optimise non-continuous variables such as solvent, ligands and different reagents (for example bases) using automated platforms equipped with robotic liquid handling systems. This project aims to develop an Industry 4.0 approach revolutionizing the transfer from laboratory to production using advanced data-rich and cognitive computing technologies.