| Literature DB >> 30375134 |
Maarten Rubens1,2, Jeroen H Vrijsen1, Joachim Laun1, Tanja Junkers1,2.
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.Entities:
Keywords: flow reactors; machine learning; monomers; polymers; synthetic methods
Year: 2018 PMID: 30375134 DOI: 10.1002/anie.201810384
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336