Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions (Q58188008)

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scientific article published on 28 June 2018
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Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions
scientific article published on 28 June 2018

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    title
    Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions (English)
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    author
    Francesco Paesani
    object named as
    Francesco Paesani
    series ordinal
    8
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    Michele Ceriotti
    object named as
    Michele Ceriotti
    series ordinal
    6
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    Jörg Behler
    object named as
    Jörg Behler
    series ordinal
    4
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    author name string
    Thuong T. Nguyen
    series ordinal
    1
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    Eszter Székely
    series ordinal
    2
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    Giulio Imbalzano
    series ordinal
    3
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    Gábor Csányi
    series ordinal
    5
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    Andreas W. Götz
    series ordinal
    7
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    publication date
    28 June 2018
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    volume
    148
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    issue
    24
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    page(s)
    241725
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    Identifiers

    DOI
    10.1063/1.5024577
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    arXiv ID
    1802.00564
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