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Title: Octane number predictions of small fuel quantities using a simulated micro flow reactor and artificial neural networks

Authors:
 [1];  [1];  [1];  [1]
  1. Lawrence Livermore National Laboratory
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1568012
Alternate Identifier(s):
OSTI ID: 1532568
Report Number(s):
LLNL-JRNL-763291
Journal ID: 952725; 952725
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Combustion and Flame
Additional Journal Information:
Journal Volume: vol. 208; Journal Issue: na
Country of Publication:
United States
Language:
English
Subject:
Engineering - Mechanical and civil engineering, Energy - Petroleum

Citation Formats

Druzgalski, C L, Lapointe, S, Whitesides, R, and McNenly, M J. Octane number predictions of small fuel quantities using a simulated micro flow reactor and artificial neural networks. United States: N. p., 2019. Web. doi:10.1016/j.combustflame.2019.06.019.
Druzgalski, C L, Lapointe, S, Whitesides, R, & McNenly, M J. Octane number predictions of small fuel quantities using a simulated micro flow reactor and artificial neural networks. United States. doi:10.1016/j.combustflame.2019.06.019.
Druzgalski, C L, Lapointe, S, Whitesides, R, and McNenly, M J. Tue . "Octane number predictions of small fuel quantities using a simulated micro flow reactor and artificial neural networks". United States. doi:10.1016/j.combustflame.2019.06.019.
@article{osti_1568012,
title = {Octane number predictions of small fuel quantities using a simulated micro flow reactor and artificial neural networks},
author = {Druzgalski, C L and Lapointe, S and Whitesides, R and McNenly, M J},
abstractNote = {},
doi = {10.1016/j.combustflame.2019.06.019},
journal = {Combustion and Flame},
number = na,
volume = vol. 208,
place = {United States},
year = {2019},
month = {10}
}

Journal Article:
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This content will become publicly available on October 1, 2020
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