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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27567

Title: Precise Polymer Synthesis by Autonomous Self-Optimizing Flow Reactors
Authors: Rubens, Maarten
Vrijsen, Jeroen Hendrik
Laun, Joachim
Junkers, Tanja
Issue Date: 2018
Citation: Angewandte Chemie (International ed. in English), 58 (10), p. 3183-3187
Status: Early View
Abstract: A novel continuous flow system for automated high-throughput screening, autonomous optimization, and enhanced process control of polymerizations was developed. The computer-controlled platform comprises a flow reactor coupled to size exclusion chromatography (SEC). Molecular weight distributions are measured online and used by a machine-learning algorithm to self-optimize reactions towards a programmed molecular weight by dynamically varying reaction parameters (i.e. residence time, monomer concentration, and control agent/initiator concentration). The autonomous platform allows targeting of molecular weights in a reproducible manner with unprecedented accuracy (<2.5% deviation from pre-selected goal) for both thermal and light-induced reactions. For the first time, polymers with predefined molecular weights can be custom made under optimal reaction conditions in an automated, high-throughput flow synthesis approach with outstanding reproducibility. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Notes: Junkers, T (reprint author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium. tanja.junkers@monash.edu
URI: http://hdl.handle.net/1942/27567
DOI: 10.1002/anie.201810384
ISI #: 000459709300040
ISSN: 1521-3773
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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