# Unsupervised word embeddings capture latent knowledge from materials science literature

Article · Vahe Tshitoyan, John M. Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin Aslaug Persson, Gerbrand Ceder, Anubhav Jain

- Archive id: doi:10.1038/s41586-019-1335-8
- Published: 2019-07-03
- Venue: Nature
- DOI: https://doi.org/10.1038/s41586-019-1335-8
- PMID: 31270483
- Citations: 1,123
- Source URL: https://doi.org/10.1038/s41586-019-1335-8
- PDF: https://escholarship.org/content/qt082091b4/qt082091b4.pdf
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [AI for Science](https://space-kitty.com/topics/ai-for-science)

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Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.
