Nour El Sabbagh, Margherita Bazzoni, Yuliia Horbenko, Aurélie Bernard, Daniel Cortés-Borda, Patrick Giraudeau, François-Xavier Felpin and Jean-Nicolas Dumez
React. Chem. Eng., 2024,9, 2599-2609
Abstract
Automated self-optimization in flow is a powerful approach to efficiently optimize chemical transformations in a high dimensional space.
Maëva Vallet, Daniel Cortés-Borda and François-Xavier Felpin
React. Chem. Eng., 2024,9, 2262-2269
Abstract
A 3D calibration surface for evaluating reaction performance by HPLC analysis in micromole scale self-optimizing flow systems was developed.
Valmir Baptista da Silva, Sergui Mansour, Antonin Delaune, François-Xavier Felpin and Julien Legros
React. Chem. Eng., 2023,8, 2658-2663
Abstract
The flow detoxification of the yperite simulant CEES with PhMgBr (>99.5%) was developed at a minimal experimental cost thanks to an optimization algorithm.
Felix Bock, Andreas Gruber, Kerstin Leopold and Henning Bruhn
J. Anal. At. Spectrom., 2023,38, 1021-1031
From themed collection:
JAAS HOT Articles 2023
Abstract
Solving image registration problem in micro-X-ray uorescence spectrometry (µ-XRF) is a first step towards application of multi-image super-resolution technique.
Theodore A. Gazis, Rodolfo I. Teixeira, Giulio Volpin, Ashish Yewale, Mert Can Ince, Mark J. Ford, Jan Harmsen, Marco Uboldi, Alice Melocchi, Mattia Sponchioni, Andrea Aramini, Renzo Luisi, Brahim Benyahia and Gianvito Vilé
Chem. Soc. Rev., 2026, Advance Article
Abstract
This review highlights systemic innovations, such as digital retrosynthesis, AI-guided design, smart manufacture, modular plants and 3D printing, as levers for scalable, low-impact fine chemical production.