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Papers citing Integrating chemistry knowledge in large language models via prompt engineering

  1. Research progress of domain-specific large language models for chemical materials

    Chinese Journal of Chemical Engineering · 2026-06-22

    Weijian Chen, Lanyu Li, Haoxiang Xu, Daojian Cheng

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  2. Embodied Intelligence Robots: Flexible Task Planning Framework and Multimodal Fusion Perception

    IEEE Transactions on Human-Machine Systems · 2026-06-30

    Zijian Zhu, Zequn Zhang, Dunbing Tang, Yuchen Ji

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  3. Comparing teacher-centered and student-centered agents based on prompt engineering: Effects on learning performance, cognitive load, flow experience, and empathy perception in physics learning

    Physical Review Physics Education Research · 2026-07-01

    Anonymous, Xiaotong Chen, Yushan Xiong, Shaorui Xu, Qiuye Li, Shaona Zhou

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  4. Structuring Student–AI Interaction in STEM Learning

    Advances in computational intelligence and robotics book series · 2026-08-20

    Ukasha Hamza, Tamera Jones, Zakiya S. Wilson-Kennedy

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  5. Fine-Tuning DeepSeek-OCR-2 for Molecular Structure Recognition

    ACS Omega · 2026-09-11

    Haocheng Tang, Xingyu Dang, Junmei Wang

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  6. Research on solid-state battery information mining based on large language models and chain-of-thought reasoning

    Journal of Energy Storage · 2026-10-09

    Xingyu Zhou, Xuebing Han, Chen Li, Dongxu Guo, Minggao OUYANG

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