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Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
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In
The chemical engineering journal 352, Seiten/Artikel-Nr.:277-282
2018
Förderung: Ernest-Solvay-Foundation and the ERASMUS program
Online
DOI: 10.18154/RWTH-2018-225882
DOI: 10.1016/j.cej.2018.07.031
URL: https://publications.rwth-aachen.de/record/728727/files/728727.pdf
URL: https://publications.rwth-aachen.de/record/728727/files/728727.pdf?subformat=pdfa
Einrichtungen
Inhaltliche Beschreibung (Schlagwörter)
Automated flow reactor (frei) ; Environmental chemistry (frei) ; Machine learning (frei) ; Reaction engineering (frei) ; Sustainable chemistry (frei)
Thematische Einordnung (Klassifikation)
DDC: 660
OpenAccess: 
PDF 
PDF (PDFA)
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85049468283
WOS Core Collection: WOS:000444001900032
Interne Identnummern
RWTH-2018-225882
Datensatz-ID: 728727
Beteiligte Länder
Germany, Norway, UK
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