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LLMs-Powered Accurate Extraction, Querying and Intelligent Management of Literature derived 2D Materials Data

Computation and Language 2025-11-27 v1 Materials Science Databases

Abstract

Two-dimensional (2D) materials have showed widespread applications in energy storage and conversion owning to their unique physicochemical, and electronic properties. Most of the valuable information for the materials, such as their properties and preparation methods, is included in the published research papers. However, due to the dispersion of synthe

Keywords

Cite

@article{arxiv.2511.20691,
  title  = {LLMs-Powered Accurate Extraction, Querying and Intelligent Management of Literature derived 2D Materials Data},
  author = {Lijun Shang and Yadong Yu and Wenqiang Kang and Jian Zhou and Dongyue Gao and Pan Xiang and Zhe Liu and Mengyan Dai and Zhonglu Guo and Zhimei Sun},
  journal= {arXiv preprint arXiv:2511.20691},
  year   = {2025}
}

Comments

100 pages (18 pages main text, 82 pages supplementary material), 5 figures. Supplementary material starts from page 19