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Description:

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.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: NIMS-OS, artificial intelligence, robotic experiments

Date published: 2023-12-31

Publisher: Informa UK Limited

Journal:

• Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 3 issue. 1 p. 2232297-2232297

Funding:

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2023.2232297

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Updated at: 2024-01-05 22:12:12 +0900

Published on MDR: 2023-10-20 13:30:18 +0900