Ryo Tamura
(National Institute for Materials Science
)
;
Koji Tsuda
(National Institute for Materials Science
)
;
Shoichi Matsuda
(National Institute for Materials Science
)
説明:
(abstract)NIMS-OS (NIMS Orchestration System) is a Python library created to realize a closed loop of robotic experiments and artificial intelligence (AI) without human intervention for automated materials exploration. It uses various combinations of modules to operate autonomously. Each module acts as an AI for materials exploration or a controller for a robotic experiments. As AI techniques, optimization tools for PHYSics based on Bayesian Optimization (PHYSBO), BoundLess Objective-free eXploration (BLOX), Phase Diagram Construction (PDC), and Random Exploration (RE) methods can be used. Moreover, a system called NIMS automated robotic electrochemical experiments (NAREE) is available as a set of robotic experimental equipment. Visualization tools for the results are also included, which allows users to check the optimization results in real time. Newly created modules for AI and robotic experiments can be added easily to extend the functionality of the system. In addition, we developed a GUI application to control NIMS-OS. To demonstrate the operation of NIMS-OS, we consider an automated exploration for new electrolytes.
権利情報:
キーワード: NIMS-OS, artificial intelligence, robotic experiments
刊行年月日: 2023-12-31
出版者: Informa UK Limited
掲載誌:
研究助成金:
原稿種別: 出版者版 (Version of record)
MDR DOI:
公開URL: https://doi.org/10.1080/27660400.2023.2232297
関連資料:
その他の識別子:
連絡先:
更新時刻: 2024-01-05 22:12:12 +0900
MDRでの公開時刻: 2023-10-20 13:30:18 +0900
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|---|---|---|---|---|
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NIMS-OS an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science.pdf
(サムネイル)
application/pdf |
サイズ | 4MB | 詳細 |