Leveraging Large Language Models and Social Media for Automation in Scanning Probe Microscopy
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866917674282385408 |
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| author | Diao, Zhuo Yamashita, Hayato Abe, Masayuki |
| author_facet | Diao, Zhuo Yamashita, Hayato Abe, Masayuki |
| contents | We present the development of an automated scanning probe microscopy (SPM) measurement system using an advanced large-scale 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 control of SPM operations, thereby improving accessibility and efficiency. The integration of LLMs with AI systems with specialized functions brings the realization of self-driving labs closer. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_15490 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Leveraging Large Language Models and Social Media for Automation in Scanning Probe Microscopy Diao, Zhuo Yamashita, Hayato Abe, Masayuki Applied Physics Mesoscale and Nanoscale Physics We present the development of an automated scanning probe microscopy (SPM) measurement system using an advanced large-scale 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 control of SPM operations, thereby improving accessibility and efficiency. The integration of LLMs with AI systems with specialized functions brings the realization of self-driving labs closer. |
| title | Leveraging Large Language Models and Social Media for Automation in Scanning Probe Microscopy |
| topic | Applied Physics Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2405.15490 |