Hall, Clemens and Rauch, Bastian and Bauder, Uwe and Le Clercq, Patrick and Aigner, Manfred (2021) Predictive Capability Assessment of Probabilistic Machine Learning Models for Density Prediction of Conventional and Synthetic Jet Fuels. Energy and Fuels, 35, pp. 2520-2530. ACS Publications. doi: 10.1021/acs.energyfuels.0c03779. ISSN 0887-0624.
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Official URL: https:\\doi.dx.org/10.1021/acs.energyfuels.0c03779
Item URL in elib: | https://elib.dlr.de/143874/ | ||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||
Title: | Predictive Capability Assessment of Probabilistic Machine Learning Models for Density Prediction of Conventional and Synthetic Jet Fuels | ||||||||||||||||||
Authors: |
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Date: | 2021 | ||||||||||||||||||
Journal or Publication Title: | Energy and Fuels | ||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||
Volume: | 35 | ||||||||||||||||||
DOI: | 10.1021/acs.energyfuels.0c03779 | ||||||||||||||||||
Page Range: | pp. 2520-2530 | ||||||||||||||||||
Publisher: | ACS Publications | ||||||||||||||||||
ISSN: | 0887-0624 | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | probabilistic, machine learning, predictive capability, density, jet fuels | ||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||
HGF - Program: | Aeronautics | ||||||||||||||||||
HGF - Program Themes: | Clean Propulsion | ||||||||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||||||||
DLR - Program: | L CP - Clean Propulsion | ||||||||||||||||||
DLR - Research theme (Project): | L - Virtual Engine | ||||||||||||||||||
Location: | Stuttgart | ||||||||||||||||||
Institutes and Institutions: | Institute of Combustion Technology > Multiphase flow and Alternative Fuels | ||||||||||||||||||
Deposited By: | Geigle, Dr. Klaus Peter | ||||||||||||||||||
Deposited On: | 10 Sep 2021 08:29 | ||||||||||||||||||
Last Modified: | 24 May 2022 23:47 |
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