Yesterday, the CRC SMART Reactors hosted a Winter Workshop on Design of Experiments (DoE) and model-based optimisation. The workshop attracted 30 PhD students and postdocs keen to expand their expertise in this field and offered a comprehensive introduction to different approaches for the design of experiments, starting from traditional one-factor-at-a-time variation method to statistical DoE and Bayesian Optimisation and model-based DoE techniques.
Participants explored the benefits and limitations of each approach through a series of live script sessions using a virtual experiment with complex reaction kinetics. This interactive format enabled participants to learn how to design smarter experiments, extract more insights from fewer experiments, and accelerate process development by linking model construction with experimental planning.
The day concluded with a forward-looking lecture by Prof. Federico Galvanin from University College London on advanced applications and novel methods in model-based DoE.
A huge thank you to Mirko Skiborowski, Leandros Paschalidis and Theresa Tillmann for the great organisation of the exciting programme!
