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    AI for science· 2023

    Scaling deep learning for materials discovery

    Amil Merchant (first author) · 2023

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    DOI 10.1038/s41586-023-06735-9OpenAlex W4389132751

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    Why it matters

    Scaled graph-based discovery to millions of candidate crystals, transforming computational materials screening.

    Condensed from the expert lists' notes.

    The record

    First released
    2023 (from OpenAlex)
    Citations
    1,522 citations, as counted by OpenAlex (CC0)
    Named by
    both expert lists
    Score
    0.477 · computed rank 263 · consensus 0.74, must-read 0.5, citations percentile 0.587 (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.