ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis.

Li J, Li M, Yang Q, Luo S

Open source

DOI: 10.1038/s41467-026-70180-1
Published: 2026 Mar 2
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-70180-1,
  title = {ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis.},
  author = {Li J and Li M and Yang Q and Luo S},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-70180-1},
  url = {https://doi.org/10.1038/s41467-026-70180-1}
}

RIS

TY  - JOUR
TI  - ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis.
AU  - Li J
AU  - Li M
AU  - Yang Q
AU  - Luo S
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-70180-1
UR  - https://doi.org/10.1038/s41467-026-70180-1
ER  -

APA

J, L., M, L., Q, Y., & S, L. (2026). ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis.. Nature communications. https://doi.org/10.1038/s41467-026-70180-1

Source records

pubmed · retrieved 2026-09-26T03:56:48.085Z
europe-pmc · retrieved 2026-09-26T03:56:48.097Z
doaj · retrieved 2026-09-26T03:56:48.079Z