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Machine Learning in Chemical Engineering : A Perspective

; ; ; ; ; ;

In
Special Issue: Artificial Intelligence in Chemical Engineering / Issue edited by: Michael Bortz, Kai Dadhe, Alexander Mitsos

In
Chemie - Ingenieur - Technik 93(12), Seiten/Artikel-Nr.:2029-2039

ImpressumWeinheim : Wiley-VCH Verl.

ISSN1522-2640

Online
DOI: 10.18154/RWTH-2021-09826
DOI: 10.1002/cite.202100083

URL: https://publications.rwth-aachen.de/record/834360/files/834360.pdf

Einrichtungen

  1. Lehrstuhl für Systemverfahrenstechnik (416710)
  2. JARA-CSD (Center for Simulation and Data Science) (080031)


Thematische Einordnung (Klassifikation)
DDC: 660

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a book

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:000709860100001
SCOPUS: SCOPUS:2-s2.0-85117518109

Interne Identnummern
RWTH-2021-09826
Datensatz-ID: 834360

Beteiligte Länder
Germany, Netherlands

Lizenzstatus der Zeitschrift

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Special Issue: Artificial Intelligence in Chemical Engineering
Chemie - Ingenieur - Technik 93(12), ()  GO   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS


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416710
080031

 Record created 2021-10-25, last modified 2023-08-15


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