Threshold Sooting Index of Sustainable Aviation Fuel Candidates from Composition Input Alone: Progress toward Uncertainty Quantification
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, University of Dayton, Dayton, Ohio 45469, United States
Funder
Federal Aviation Administration
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.1c03794
Reference45 articles.
1. A machine learning framework for drop-in volume swell characteristics of sustainable aviation fuel
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