# Machine learning for a sustainable energy future

Review · Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston, L.M. Mejía-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru‐Guzik, Edward Hartley Sargent, Zhi Wei Seh

- Archive id: doi:10.1038/s41578-022-00490-5
- Published: 2022-10-18
- Venue: Nature Reviews Materials
- DOI: https://doi.org/10.1038/s41578-022-00490-5
- PMID: 36277083
- Citations: 526
- Source URL: https://doi.org/10.1038/s41578-022-00490-5
- PDF: https://www.nature.com/articles/s41578-022-00490-5.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.
