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Graph Neural Networks for Prediction of Fuel Ignition Quality

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Konferenz/Event:Fuel Science - From Production to Propulsion , Aachen online , Germany , 2020-06-23 - 2020-06-25

Online
URL: https://www.fuelcenter.rwth-aachen.de/cms/Fuelcenter/Austausch/Internationale-Konferenz/~dcsks/8-Internationale-Konferenz/?lidx=1

Projekte

  1. EXC 2186 - "Das Fuel Science Center" - Adaptive Umwandlungssysteme für erneuerbare Energie- und Kohlenstoffquellen (DFGEXC2186-FSC) (DFGEXC2186-FSC)

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Dokumenttyp
Poster

Format
data medium

Herkunft
Public Reference

Sprache
English

Interne Identnummern
RWTH-2020-08197
Datensatz-ID: 795250

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;
Graph Neural Networks for Prediction of Fuel Ignition Quality
Energy & fuels 34(9), 11395-11407 () [10.1021/acs.energyfuels.0c01533]  GO BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png 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 20202020-11-182020-11-18 Aachen, [AVT research video] [5], 1 Online-Ressource (1 video file) () [10.18154/RWTH-2020-10689]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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 Record created 2020-08-07, last modified 2023-04-27
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