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With the development of an environment that equips large language models with tools, chat-type artificial intelligence (AI) is currently shifting to agent-type AI. Although building an agent AI with complex behavior is an important issue, a method for easily implementing simple agent AI is also useful in materials research. The objectives of this study are to demonstrate the usefulness of simple agent AI codes, and to distribute them as supplemental materials. The key points are summarized as follows. (1) Using Gibbs energy calculations as an example, we demonstrated a simple method for constructing agent AI, including explanation and distribution of the python code. (2) We applied this method to a scratch code development of phase-field simulation, and the template python code was also distributed. (3) Using the simple agent AI technique, we were able to easily verify that the Jarzynski equality is applicable for the diffusion behavior in diffusion couple, which provides a new approach for directly evaluating free energy change from diffusion flux information.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: generative AI, LLM, LangGraph, Gibbs energy, Phase-field method, Jarzynski equality

刊行年月日: 2026-12-31

出版者: Informa UK Limited

掲載誌:

• Science and Technology of Advanced Materials: Methods (ISSN: 27660400) 2601436

研究助成金:

• JST SIP
• MEXT Data Creation and Utilization Materials Research and Development Project
• Data Creation and Utilization Magnetic Materials Research Center JPMXP1122715503
• JST-CREST JPMJC22C3

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.6172

公開URL: https://doi.org/10.1080/27660400.2025.2601436

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更新時刻: 2026-02-08 08:30:08 +0900

MDRでの公開時刻: 2026-02-07 17:34:50 +0900