Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/27567
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | RUBENS, Maarten | - |
dc.contributor.author | VRIJSEN, Jeroen | - |
dc.contributor.author | LAUN, Joachim | - |
dc.contributor.author | JUNKERS, Tanja | - |
dc.date.accessioned | 2019-01-10T14:36:36Z | - |
dc.date.available | 2019-01-10T14:36:36Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 58 (10), p. 3183-3187 | - |
dc.identifier.issn | 1521-3773 | - |
dc.identifier.uri | http://hdl.handle.net/1942/27567 | - |
dc.description.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. | - |
dc.description.sponsorship | The authors are grateful to the Fonds WetenschappelijkOnderzoek (FWO) for providing scholarships for M.R.,J.H.V., and J.L. Funding from Monash University is alsokindly acknowledged. | - |
dc.language.iso | en | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.rights | 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim | - |
dc.subject.other | flow reactors | - |
dc.subject.other | machine learning | - |
dc.subject.other | monomers | - |
dc.subject.other | polymers | - |
dc.subject.other | synthetic methods | - |
dc.title | Precise Polymer Synthesis by Autonomous Self-Optimizing Flow Reactors | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 3187 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 3183 | - |
dc.identifier.volume | 58 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Junkers, T (reprint author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium. tanja.junkers@monash.edu | - |
local.publisher.place | POSTFACH 101161, 69451 WEINHEIM, GERMANY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1002/anie.201810384 | - |
dc.identifier.pmid | 30375134 | - |
dc.identifier.isi | 000459709300040 | - |
dc.identifier.eissn | 1521-3773 | - |
local.provider.type | PubMed | - |
local.uhasselt.international | yes | - |
item.contributor | RUBENS, Maarten | - |
item.contributor | VRIJSEN, Jeroen | - |
item.contributor | LAUN, Joachim | - |
item.contributor | JUNKERS, Tanja | - |
item.validation | ecoom 2020 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.fullcitation | RUBENS, Maarten; VRIJSEN, Jeroen; LAUN, Joachim & JUNKERS, Tanja (2019) Precise Polymer Synthesis by Autonomous Self-Optimizing Flow Reactors. In: ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 58 (10), p. 3183-3187. | - |
crisitem.journal.issn | 1433-7851 | - |
crisitem.journal.eissn | 1521-3773 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Angew Chem Int Ed - 2018 - Rubens - Precise Polymer Synthesis by Autonomous Self‐Optimizing Flow Reactors.pdf Restricted Access | Published version | 812.32 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
32
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
114
checked on Oct 13, 2024
Page view(s)
38
checked on Sep 7, 2022
Download(s)
12
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.