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Title: Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1367203
Report Number(s):
SAND2017-5165C
653334
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the AIAA Aviation Conference in Denver, CO.
Country of Publication:
United States
Language:
English

Citation Formats

Barone, Matthew F., Fike, Jeffrey A., Chowdhary, Kamaljit Singh, Davis, Warren Leon,, Ling, Julia, and Martin, Shawn. Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations.. United States: N. p., 2017. Web. doi:10.2514/6.2017-3979.
Barone, Matthew F., Fike, Jeffrey A., Chowdhary, Kamaljit Singh, Davis, Warren Leon,, Ling, Julia, & Martin, Shawn. Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations.. United States. doi:10.2514/6.2017-3979.
Barone, Matthew F., Fike, Jeffrey A., Chowdhary, Kamaljit Singh, Davis, Warren Leon,, Ling, Julia, and Martin, Shawn. Mon . "Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations.". United States. doi:10.2514/6.2017-3979. https://www.osti.gov/servlets/purl/1367203.
@article{osti_1367203,
title = {Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations.},
author = {Barone, Matthew F. and Fike, Jeffrey A. and Chowdhary, Kamaljit Singh and Davis, Warren Leon, and Ling, Julia and Martin, Shawn},
abstractNote = {Abstract not provided.},
doi = {10.2514/6.2017-3979},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}

Conference:
Other availability
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