Computational data as the fuel for AI in chemistry
- DOI
- 10.1039/d6sc03659g
- Published
- 2026
- Container
- Chemical Science
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1039/d6sc03659g,
title = {Computational data as the fuel for AI in chemistry},
author = {Ross James Urquhart and Tell Tuttle},
year = {2026},
journal = {Chemical Science},
doi = {10.1039/d6sc03659g},
url = {https://doi.org/10.1039/d6sc03659g}
}RIS
TY - JOUR TI - Computational data as the fuel for AI in chemistry AU - Ross James Urquhart AU - Tell Tuttle PY - 2026 JO - Chemical Science DO - 10.1039/d6sc03659g UR - https://doi.org/10.1039/d6sc03659g ER -
APA
Urquhart, R. J., & Tuttle, T. (2026). Computational data as the fuel for AI in chemistry. Chemical Science. https://doi.org/10.1039/d6sc03659g
Source records
- crossref · retrieved 2026-09-25T01:26:31.136Z