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`thermoextrap`: Thermodynamic Extrapolation/Interpolation Library

This is a python package to perform thermodynamic extrapolation andinterpolation of observables calculated from molecular simulations. This allowsfor more efficient use of simulation data for calculating how observables changewith simulation conditions, including temperature, density, pressure, chemicalpotential, or force field parameters.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2023-04-06 00:00:00
Date Created: N/A
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Data Provided by:
statistical mechanics
Dataset Owner: N/A

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Title `thermoextrap`: Thermodynamic Extrapolation/Interpolation Library
Description This is a python package to perform thermodynamic extrapolation andinterpolation of observables calculated from molecular simulations. This allowsfor more efficient use of simulation data for calculating how observables changewith simulation conditions, including temperature, density, pressure, chemicalpotential, or force field parameters.
Modified 2023-04-06 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords Statistical mechanics , python package , thermodynamics , molecular simulation
{
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    "references": [
        "https:\/\/doi.org\/10.1063\/5.0014282"
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        "fn": "William P. Krekelberg"
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    "language": [
        "en"
    ],
    "title": "`thermoextrap`: Thermodynamic Extrapolation\/Interpolation Library",
    "distribution": [
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            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2987\/README.pdf",
            "mediaType": "application\/pdf",
            "title": "README"
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            "accessURL": "https:\/\/github.com\/usnistgov\/thermoextrap",
            "title": "Source"
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            "accessURL": "https:\/\/pages.nist.gov\/thermoextrap\/",
            "title": "Documentation"
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    "bureauCode": [
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    "modified": "2023-04-06 00:00:00",
    "publisher": {
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        "name": "National Institute of Standards and Technology"
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    "theme": [
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        "Chemistry:Chemical thermodynamics and chemical properties",
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    ],
    "issued": "2023-10-10",
    "keyword": [
        "Statistical mechanics",
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}

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