Digitally Enabled Self-Optimisation of Heterogenous Chemical Processes

This PhD research project focuses on developing an advanced platform utilizing AI and self-optimizing reaction technology to improve the efficiency and effectiveness of heterogeneous chemical reactions, thereby accelerating product development. The project aims to expand automated reaction platforms beyond homogeneous reactions to heterogeneous reactions, which constitute 75-80% of reactions in pharmaceutical synthesis. The research will combine automated reaction platforms with optimization algorithms to create Self-Optimization Flow Reactors (SOFRs) for heterogeneous processes. This industrially supported project builds on collaboration between the University of Leeds and Dr Reddy's Ltd, harnessing complementary expertise to address real-world challenges in pharmaceutical synthesis and chemical manufacturing.