Autonomous flow reaction optimization guided by NMR spectroscopy and advanced Bayesian optimization algorithms

Reaction Chemistry & Engineering 2026 Open access

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Authors: Aravind Senthil Vel, Yuliia Horbenko, Nour El Sabbagh, Burkhard Groh, Daniel Cortés‐Borda, Jonathan Farjon, Patrick Giraudeau, Jean‐Nicolas Dumez, Jean-Philippe Krieger, François‐Xavier Felpin
DOI: 10.1039/d5re00504c
Cited by: 1
References: 48

Abstract

A closed-loop workflow combining an efficient optimization algorithm, an automated reaction platform, and in-line analysis using benchtop NMR enables autonomous and high-efficiency reaction optimization.

Fields of Study & Subjects

Innovative Microfluidic and Catalytic Techniques Innovation Machine Learning in Materials Science Process Optimization and Integration

Publication details

Journal / source
Reaction Chemistry & Engineering
Publisher
Royal Society of Chemistry (RSC)
Volume
11
Issue
6
Pages
1274–1282
Publication date
1 January 2026
Language
EN