Computational data as the fuel for AI in chemistry

Ross James Urquhart, Tell Tuttle

Open source

DOI
10.1039/d6sc03659g
Published
2026
Container
Chemical Science
Publisher
Royal Society of Chemistry (RSC)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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