From Process Understanding to Predictive Scalability


From Process Understanding to Predictive Scalability

When: 29th November 2018

Where: GSK, Stevenage.

Overview: Scale-up of complex organic and bio-catalytic processes remains a significant challenge due to low observability of state variables and, frequently, absence of mechanistic models of the reactions. A raft of new tools is emerging in this topic, relating to increased observability (new sensor methods), development of good-enough black box models based on machine learning approaches, new kinetic methods, new methods in design of experiments and development of process models, as well as the increased understanding in physical organic chemistry and computer-aided molecular design.

This event is aimed at practitioners in the field, from both industry and academia, as a networking and research agenda-setting event: what is the state-of-the-art, what research challenges are emerging as a result of developments in the neighbouring fields (robotics, AI, machine learning, systems biology, synthetic biology, high throughput analytics, novel business models for manufacturing, new feedstocks, etc), where is there lack of progress? The event will result in a white-paper and should stimulate future research proposals and collaborative research projects.

Booking will open soon, in the meantime please save the date.

Lead Organiser: Alexei Lapkin (University of Cambridge)