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    • mumpcepy: A Python implementation of the Method of Uncertainty Minimization using Polynomial Chaos Expansions

    Metadata Updated: July 29, 2022

    The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) was developed as a software tool to constrain physical models against experimental measurements. These models contain parameters that cannot be easily determined from first principles and so must be measured, and some which cannot even be easily measured. In such cases, the models are validated and tuned against a set of global experiments which may depend on the underlying physical parameters in a complex way. The measurement uncertainty will affect the uncertainty in the parameter values.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    Dates

    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier 592933731171AB19E0531A570681F8251860
    Language en
    Data Last Modified 2017-09-14
    Category Information Technology: Computational science, Mathematics and Statistics: Uncertainty quantification, Chemistry: Chemical thermodynamics and chemical properties
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 3d897c77-90cc-421d-9400-71f5da0129b3
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://pages.nist.gov/mumpce_py/
    License https://www.nist.gov/open/license
    Program Code 006:045
    Source Datajson Identifier True
    Source Hash 7a9e4991eb23eef8c1f9204d47640dfe7a7d7bca
    Source Schema Version 1.1

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