Overview

This workshop will cover the following topics:

• The application of high throughput and machine learning methods to catalyst development, leading to more selective processes and efficient reactor designs that reduce energy consumption and downstream separation footprint.
• The use of catalysis, kinetics, and in situ separation methods to intensify sugar conversion and minimize the generation of waste by-products.
• Hybridisation of reaction and extraction techniques, which enable the in situ removal of highly reactive target products, reducing reactor residence time and preventing further degradation.

This event is aimed at academic and industrial researchers and at PhD students. In addition to the workshop talks, there will be opportunities for discussion, networking, poster presentations and flash talks. 

IChemE will not be storing or controlling any data linked to this event.