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Information Extraction in Materials Science Based on Large Language Model
Artificial Intelligence | 更新时间：2026-01-27

    • Information Extraction in Materials Science Based on Large Language Model

    • “In the field of materials science, experts improve the knowledge extraction performance of big language models through domain alignment fine-tuning, providing new ideas for material science knowledge extraction.”
    • Software Guide   Vol. 25, Issue 1, Pages: 1-9(2026)

    • DOI：10.11907/rjdk.241885    

      CLC： TP391

    • Received：26 December 2024，

      Published：15 January 2026

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  • SHI Zongbin,LE Xiaoqiu.Information Extraction in Materials Science Based on Large Language Model[J].Software Guide,2026,25(01):1-9. DOI： 10.11907/rjdk.241885.

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WANG Bin
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LU Xiao
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Related Institution

Chinese Information Processing Laboratory， Institute of Software， Chinese Academy of Sciences
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Shandong Engineering Research Center of Big Data Applied Technology， Faculty of Computer Science and Technology， Qilu University of Technology （Shandong Academy of Sciences）
Key Laboratory of Computing Power Network and Information Security， Ministry of Education， Shandong Computer Science Center （National Supercomputer Center in Ji’nan）， Qilu University of Technology （Shandong Academy of Sciences）
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