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    AI for science· 2021

    Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

    Lu Lu (first author) · 2021

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    DOI 10.1038/s42256-021-00302-5OpenAlex W2979786244

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    Why it matters

    Established branch-trunk neural operator learning for mappings between function spaces.

    Condensed from the expert lists' notes.

    The record

    First released
    2021 (from OpenAlex)
    Citations
    3,644 citations, as counted by OpenAlex (CC0)
    Named by
    the chatgpt list only
    Score
    0.403 · computed rank 360 · consensus 0.38, must-read 0, citations percentile 0.826 (2020s · science), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.