Automated self-optimization in flow is a powerful approach to efficiently optimize chemical transformations in a high dimensional space.
This review provides chemists with an introduction to Bayesian optimization. Core principles and techniques are explained alongside a comprehensive overview of applications in both batch and flow, focusing on practical aspects.
A 3D calibration surface for evaluating reaction performance by HPLC analysis in micromole scale self-optimizing flow systems was developed.
The flow detoxification of the yperite simulant CEES with PhMgBr (>99.5%) was developed at a minimal experimental cost thanks to an optimization algorithm.
Solving image registration problem in micro-X-ray uorescence spectrometry (µ-XRF) is a first step towards application of multi-image super-resolution technique.