Interview with Professor Alexei Lapkin, University of Cambridge
The role of high-quality data in successful reaction engineering
With growing pressure to work in a sustainable, cost efficient and competitive manner, chemicals companies cannot afford to keep using inefficient processes that worked in the past. It falls to reaction engineers is to develop optimized and clean chemical processes that can be applied in the long term.
To explore how changing one factor in a reaction system affects all the others, reaction engineers must first understand and model the elements. While some models can be relatively simple, based on first principles, in other cases, data-driven models that involve Bayesian statistical methods are needed. Regardless of the model type, success depends on inputting high-quality information.
In this interview, Professor Alexei Lapkin of the University of Cambridge explains some of the principles of reaction engineering and the role of data in this important field.