Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates"

Barajas-Solano, David A

doi:10.25584/PNNLDH/1986294

Title: Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates"

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Abstract

Training and testing data for the SIAM MPI23 workshop "Model inversion for complex physical systems using low-dimensional surrogates". The data consists of ensembles of input and output pairs corresponding to queries of a 2D saturated groundwater flow model. The inputs consist of random vectors which map to discretized model parameter fields via a Kosambi-Karhunen-Loève expansion. Output corresponds to discretized pressure fields.

Authors:

PNNL

Publication Date:: Fri Jun 09 00:00:00 EDT 2023

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Laboratory 2

Sponsoring Org.:: DOE

Subject:: basis adaptation, conditional Karhunen-Loève expansions

OSTI Identifier:: 1986294

DOI:: https://doi.org/10.25584/PNNLDH/1986294

Citation Formats


                    Barajas-Solano, David A. Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates".  United States: N. p., 2023. 
        Web.  doi:10.25584/PNNLDH/1986294.

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                    Barajas-Solano, David A. Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates".  United States.  doi:https://doi.org/10.25584/PNNLDH/1986294

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                    Barajas-Solano, David A. 2023.  
"Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates"".  United States.  doi:https://doi.org/10.25584/PNNLDH/1986294.  https://www.osti.gov/servlets/purl/1986294. Pub date:Fri Jun 09 00:00:00 EDT 2023

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@article{osti_1986294,

  title        = {Dataset for SIAM MPI23 Project "Model inversion for complex physical systems using low-dimensional surrogates"},

  author       = {Barajas-Solano, David A},

  abstractNote = {Training and testing data for the SIAM MPI23 workshop "Model inversion for complex physical systems using low-dimensional surrogates". The data consists of ensembles of input and output pairs corresponding to queries of a 2D saturated groundwater flow model. The inputs consist of random vectors which map to discretized model parameter fields via a Kosambi-Karhunen-Loève expansion. Output corresponds to discretized pressure fields.},

  doi          = {10.25584/PNNLDH/1986294},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jun 09 00:00:00 EDT 2023},

  month        = {Fri Jun 09 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.25584/PNNLDH/1986294

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