Leveraging large language model and social network service for automation in scanning probe microscopy
Abstract We present the development of an automated scanning probe microscopy (SPM) measurement system using an advanced large language model (LLM). This SPM system can receive instructions via social networking services (SNS), and the integration of SNS and LLMs enables real-time, language-agnostic, and portable control of SPM operations, thereby improving accessibility and efficiency. The integration of LLMs with scientific instruments brings the realization of automated solutions closer.
Authors
- Hayato Yamashita (ORCID: https://orcid.org/0000-0003-4473-5773)
- Masayuki Abe (ORCID: https://orcid.org/0000-0001-5619-3911)
- Zhuo Diao (ORCID: https://orcid.org/0000-0001-5358-444X)
Institutions
- Toneyama National Hospital (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Measurement Science and Technology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1088/1361-6501/adbf3a
- Citations
- 2
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 12.35
Funders
- Ministry of Education, Culture, Sports, Science and Technology