skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Modeling material variability with uncertainty quantification and machine learning techniques.

Abstract

Abstract not provided.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1504569
Report Number(s):
SAND2018-3107D
661703
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the ESRF external panel review held April 12, 2018 in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Alleman, Coleman, Boyce, Brad Lee, Frankel, Ari Louis, Heckman, Nathan, Khalil, Mohammad, Garikipati, Krishna, and Jones, Reese E. Modeling material variability with uncertainty quantification and machine learning techniques.. United States: N. p., 2018. Web.
Alleman, Coleman, Boyce, Brad Lee, Frankel, Ari Louis, Heckman, Nathan, Khalil, Mohammad, Garikipati, Krishna, & Jones, Reese E. Modeling material variability with uncertainty quantification and machine learning techniques.. United States.
Alleman, Coleman, Boyce, Brad Lee, Frankel, Ari Louis, Heckman, Nathan, Khalil, Mohammad, Garikipati, Krishna, and Jones, Reese E. Thu . "Modeling material variability with uncertainty quantification and machine learning techniques.". United States. https://www.osti.gov/servlets/purl/1504569.
@article{osti_1504569,
title = {Modeling material variability with uncertainty quantification and machine learning techniques.},
author = {Alleman, Coleman and Boyce, Brad Lee and Frankel, Ari Louis and Heckman, Nathan and Khalil, Mohammad and Garikipati, Krishna and Jones, Reese E.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

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.

Save / Share: