Graph Neural Networks for Prediction of Fuel Ignition Quality-Reference-Cited by-同舟云学术

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Graph Neural Networks for Prediction of Fuel Ignition Quality

Published:2020-08-12 Issue:9 Volume:34 Page:11395-11407
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Schweidtmann Artur M.¹,Rittig Jan G.¹,König Andrea¹,Grohe Martin²,Mitsos Alexander¹³⁴,Dahmen Manuel⁴^ORCID

Affiliation:

1. Process Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen 52074, Germany

2. Lehrstuhl Informatik 7, RWTH Aachen University, Aachen 52074, Germany

3. JARA-ENERGY, Aachen 52056, Germany

4. Institute for Energy and Climate Research IEK-10: Energy Systems Engineering, Forschungszentrum Jülich GmbH, Jülich 52425, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.0c01533

Reference95 articles.

1. Advanced Biofuels and Beyond: Chemistry Solutions for Propulsion and Production

2. Valeric Biofuels: A Platform of Cellulosic Transportation Fuels

3. Furfural-A Promising Platform for Lignocellulosic Biofuels

4. Model-Based Design of Tailor-Made Biofuels

5. Review and Performance Evaluation of Fifty Alternative Liquid Fuels for Spark-Ignition Engines

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