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Title: Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response

Abstract

No abstract provided.

Authors:
 [1];  [1];  [2];  [2];  [3];  [3];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Univ. of South Carolina, Columbia, SC (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1432629
Report Number(s):
LA-UR-18-22979
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Favorite, Jeffrey A., Dean, Garrett James, Bledsoe, Keith C., Jessee, Matt, Cacuci, Dan Gabriel, Fang, Ruixian, and Badea, Madalina. Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response. United States: N. p., 2018. Web. doi:10.2172/1432629.
Favorite, Jeffrey A., Dean, Garrett James, Bledsoe, Keith C., Jessee, Matt, Cacuci, Dan Gabriel, Fang, Ruixian, & Badea, Madalina. Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response. United States. doi:10.2172/1432629.
Favorite, Jeffrey A., Dean, Garrett James, Bledsoe, Keith C., Jessee, Matt, Cacuci, Dan Gabriel, Fang, Ruixian, and Badea, Madalina. Mon . "Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response". United States. doi:10.2172/1432629. https://www.osti.gov/servlets/purl/1432629.
@article{osti_1432629,
title = {Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response},
author = {Favorite, Jeffrey A. and Dean, Garrett James and Bledsoe, Keith C. and Jessee, Matt and Cacuci, Dan Gabriel and Fang, Ruixian and Badea, Madalina},
abstractNote = {No abstract provided.},
doi = {10.2172/1432629},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 09 00:00:00 EDT 2018},
month = {Mon Apr 09 00:00:00 EDT 2018}
}

Technical Report:

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