the open
    research
    Contribute
    Back to the reading lists

    AI for science· 2018

    SchNet - a deep learning architecture for molecules and materials

    Schütt (first author) · 2018

    Read the original

    DOI 10.1063/1.5019779OpenAlex W2778051509

    On the reading lists

    Why it matters

    Architecture for molecules and crystalline materials.

    Condensed from the expert lists' notes.

    The record

    First released
    2018 (from OpenAlex)
    Citations
    2,215 citations, as counted by OpenAlex (CC0)
    Named by
    the grok list only
    Score
    0.308 · computed rank 586 · consensus 0.32, must-read 0, citations percentile 0.607 (2010s · 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.