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Title: Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1513665
Report Number(s):
SAND2018-0932C
660234
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the DOE ASCR Scientific Machine Learning Workshop held January 29 - February 1, 2018 in Rockville, MD.
Country of Publication:
United States
Language:
English

Citation Formats

Debusschere, Bert, Templeton, Jeremy Alan, Safta, Cosmin, Sargsyan, Khachik, Pinar, Ali, and Najm, Habib N. Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations.. United States: N. p., 2018. Web.
Debusschere, Bert, Templeton, Jeremy Alan, Safta, Cosmin, Sargsyan, Khachik, Pinar, Ali, & Najm, Habib N. Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations.. United States.
Debusschere, Bert, Templeton, Jeremy Alan, Safta, Cosmin, Sargsyan, Khachik, Pinar, Ali, and Najm, Habib N. 2018. "Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations.". United States. https://www.osti.gov/servlets/purl/1513665.
@article{osti_1513665,
title = {Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations.},
author = {Debusschere, Bert and Templeton, Jeremy Alan and Safta, Cosmin and Sargsyan, Khachik and Pinar, Ali and Najm, Habib N.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1513665}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2018},
month = {Mon Jan 01 00:00:00 EST 2018}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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