; ; ; ; ;
In
Energy & fuels 34(9), Seiten/Artikel-Nr.:11395-11407
2020
Online
DOI: 10.1021/acs.energyfuels.0c01533
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 660
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
WOS Core Collection: WOS:000574904900087
SCOPUS: SCOPUS:2-s2.0-85095432919
Interne Identnummern
RWTH-2020-09710
Datensatz-ID: 803415
Beteiligte Länder
Germany
Multimedia (Video)/Conference Presentation
Graph neural networks for prediction of fuel ignition quality
AIChE Annual Meeting, Applications of Data Science to Molecules and Materials Session, onlineonline, 18 Nov 2020 - 18 Nov 2020
Aachen, [AVT research video] [5], 1 Online-Ressource (1 video file) (2020) [10.18154/RWTH-2020-10689]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Poster
Graph Neural Networks for Prediction of Fuel Ignition Quality
Fuel Science - From Production to Propulsion, Aachen onlineAachen online, Germany, 23 Jun 2020 - 25 Jun 2020
Homepage of event
BibTeX |
EndNote:
XML,
Text |
RIS