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Title: Machine learning to construct reduced-order models and scaling laws for reactive-transport applications

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Environmental Management (EM)
OSTI Identifier:
1412919
Report Number(s):
LA-UR-17-31172
DOE Contract Number:
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: AGU ; 2017-12-11 - 2017-12-15 ; New Orleans, Louisiana, United States
Country of Publication:
United States
Language:
English
Subject:
Earth Sciences; Energy Sciences; Machine learning, reactive-transport, reduced-order models

Citation Formats

Mudunuru, Maruti Kumar, Karra, Satish, and Vesselinov, Velimir Valentinov. Machine learning to construct reduced-order models and scaling laws for reactive-transport applications. United States: N. p., 2017. Web.
Mudunuru, Maruti Kumar, Karra, Satish, & Vesselinov, Velimir Valentinov. Machine learning to construct reduced-order models and scaling laws for reactive-transport applications. United States.
Mudunuru, Maruti Kumar, Karra, Satish, and Vesselinov, Velimir Valentinov. Tue . "Machine learning to construct reduced-order models and scaling laws for reactive-transport applications". United States. doi:. https://www.osti.gov/servlets/purl/1412919.
@article{osti_1412919,
title = {Machine learning to construct reduced-order models and scaling laws for reactive-transport applications},
author = {Mudunuru, Maruti Kumar and Karra, Satish and Vesselinov, Velimir Valentinov},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 12 00:00:00 EST 2017},
month = {Tue Dec 12 00:00:00 EST 2017}
}

Conference:
Other availability
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