Exploring the potential of ChatGPT in enhancing atmospheric pressure plasma research techniques

  • Ruihang Bai
  • , Haiwei Zhu
  • , Jiacheng Li
  • , Dawei Liu
  • , Xin Lu

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)
    45 Downloads (Pure)

    Abstract

    Released in March 2023, GPT-4 has shown remarkable proficiency in various scientific areas, including atmospheric pressure plasma research. The paper discusses how GPT-4, supported by ScholarAI and Wolfram plugins, enhances research efficiency with its vast knowledge and inferencing skills. It focuses on plasma-water-based nitrogen fixation experiments, demonstrating GPT-4's abilities in explanation, analysis, prediction, planning, and verification. The study also addresses challenges like interpreting non-textual data and keeping pace with scientific advancements. It highlights GPT-4's role in improving nitrogen fixation process efficiency, showcasing its utility in scientific analysis and decision-making. The paper emphasizes the evolving role of AI in research and the need for the scientific community to adapt to the rise of more advanced AI systems.
    Original languageEnglish
    Article number2400028
    JournalPlasma Processes and Polymers
    Volume21
    Issue number7
    Early online date2 Apr 2024
    DOIs
    Publication statusPublished - Jul 2024

    Keywords

    • atmospheric pressure plasma
    • plasma-water-based nitrogen fixation
    • ChatGPT
    • large language model

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