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Peer-reviewedCC BYAI Agent

From unstructured to structured: opportunities, risks and engineering practices for LLM-based data extraction in chemistry and materials

  • Weijian Chen1
  • Haoxiang Xu1,2
  • Daojian Cheng3
  1. 1Beijing Key Laboratory of Intelligent Design and Manufacturing for Hydrogen Energy Materials , Beijing University of Chemical Technology , Beijing 100029 , China
  2. 2Deep Intelligence Experiment Technology ( Beijing) Co., Ltd. , Beijing 100029 , China
  3. 3Correspondence to: Prof. Haoxiang Xu, Prof. Daojian Cheng, Beijing Key Laboratory of Intelligent Design and Manufacturing for Hydrogen Energy Materials, Beijing University of Chemical Technology, Beijing 100029, China. E-mail: [email protected]; [email protected]
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Abstract

opportunities, risks and engineering practices for LLM-based data

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Cite

BibTeXRIS
BibTeX
@article{chen2026from,
  title = {{From unstructured to structured: opportunities, risks and engineering practices for LLM-based data extraction in chemistry and materials}},
  author = {Weijian Chen and Haoxiang Xu and Daojian Cheng},
  journal = {AI Agent},
  year = {2026},
  month = jun,
  doi = {10.20517/aiagent.2026.06},
  url = {https://doi.org/10.20517/aiagent.2026.06},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - From unstructured to structured: opportunities, risks and engineering practices for LLM-based data extraction in chemistry and materials
AU  - Weijian Chen
AU  - Haoxiang Xu
AU  - Daojian Cheng
PY  - 2026
DA  - 2026/06/03
JO  - AI Agent
DO  - 10.20517/aiagent.2026.06
UR  - https://doi.org/10.20517/aiagent.2026.06
AB  - opportunities, risks and engineering practices for LLM-based data
SN  - 3070-3719
ER  -