A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions.
Abstract
Abstract not provided.
- Authors:
-
- FSU
- 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:
- 1429255
- Report Number(s):
- SAND2017-2892C
651814
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the SIAM Conference on Computational Science and Engineering held February 27 - March 3, 2017 in Atlanta, GA.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Cheung, James, Frischknecht, Amalie, Perego, Mauro, and Bochev, Pavel B. A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions.. United States: N. p., 2017.
Web.
Cheung, James, Frischknecht, Amalie, Perego, Mauro, & Bochev, Pavel B. A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions.. United States.
Cheung, James, Frischknecht, Amalie, Perego, Mauro, and Bochev, Pavel B. 2017.
"A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions.". United States. https://www.osti.gov/servlets/purl/1429255.
@article{osti_1429255,
title = {A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions.},
author = {Cheung, James and Frischknecht, Amalie and Perego, Mauro and Bochev, Pavel B.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1429255},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}
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