Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems.

Carlberg, Kevin Thomas; Barone, Matthew F.; Freno, Brian Andrew

Title: Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems.

Full Record
Other Related Research

Abstract

Abstract not provided.

Authors:: Carlberg, Kevin Thomas; Barone, Matthew F.; Freno, Brian Andrew

Publication Date:: Tue May 01 00:00:00 EDT 2018

Research Org.:: Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1524501

Report Number(s):: SAND2018-5714D
663564

DOE Contract Number:: AC04-94AL85000

Resource Type:: Conference

Resource Relation:: Conference: Proposed for presentation at the Computing & Information Sciences External Review held June 18-21, 2018 in Albuquerque, NM.

Country of Publication:: United States

Language:: English

Citation Formats


                    Carlberg, Kevin Thomas, Barone, Matthew F., and Freno, Brian Andrew. Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems..  United States: N. p., 2018. 
        Web.

Copy to clipboard


                    Carlberg, Kevin Thomas, Barone, Matthew F., & Freno, Brian Andrew. Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems..  United States.

Copy to clipboard


                    Carlberg, Kevin Thomas, Barone, Matthew F., and Freno, Brian Andrew. 2018.  
        "Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems.".  United States.  https://www.osti.gov/servlets/purl/1524501.

Copy to clipboard


                    
@article{osti_1524501,

  title        = {Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems.},

  author       = {Carlberg, Kevin Thomas and Barone, Matthew F. and Freno, Brian Andrew},

  abstractNote = {Abstract not provided.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1524501},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue May 01 00:00:00 EDT 2018},

  month        = {Tue May 01 00:00:00 EDT 2018}

}

Copy to clipboard

Conference:

View Conference (2.77 MB)

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.