Carlos González Niño

TL;DR: The combination of multi-objective optimisation based on machine learning methods (TSEMO algorithm) with self-optimising platforms for the optimisation of multi -step continuous reaction processes with respect to multiple objectives has the potential to make substantial savings in time and resources.

TL;DR: A universal multistage cascade CSTR has been developed that is suitable for a wide range of continuous-flow processes, delivering a general “plug-and-play” reactor platform which is well-suited to multiphasic continuous- flow chemistry.

TL;DR: In this paper, a microfluidic-coupled X-ray diffraction (DMC-XRD) was used to identify effective particulate nucleating agents for calcium carbonate and study their influence on the crystallization pathway.

TL;DR: In this article, the reaction of amino acid derived N-carboxyanhydrides (NCAs) with unprotected amino acids under carefully controlled aqueous continuous flow conditions realized the formation of a range of di- and tripeptide products in 60-85% conversion at productivities of up to 535 g·L 1h 1h −1.

TL;DR: The first CFD-enabled multi-objective design optimisation methodology for continuous oscillatory baffled reactors (COBRs), used for flow chemistry-based process development, is described, where performance is quantified in terms of two metrics: a mixing efficiency index and the variance of the residence time distribution.