# NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science

https://mdr.nims.go.jp/datasets/5a7523e6-eab5-4cd3-8def-7689faf2c28f

## File

- [NIMS-OS  an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science.pdf](https://mdr.nims.go.jp/filesets/47c2bdf7-ec53-46a2-a1c6-bfc568c5ea74/download) ([Detail](https://mdr.nims.go.jp/filesets/47c2bdf7-ec53-46a2-a1c6-bfc568c5ea74.md))

## Id

5a7523e6-eab5-4cd3-8def-7689faf2c28f

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-10-19T20:46:20.183784Z

## Updated at

2024-01-05T13:12:12.098479Z

## Published at

2023-10-20T04:30:18.249240Z

## Doi



## First published url

https://doi.org/10.1080/27660400.2023.2232297

## Date published

2023-12-31

## Recorded date published

2023-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: 'NIMS-OS: An automation software to implement a closed loop between artificial
    intelligence and robotic experiments in materials science'
  title_type: original
  lang: en

## Description

- 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.
  description_type: abstract
  lang: eng

## Creator

- name: Ryo Tamura
  role: author
  orcid: https://orcid.org/0000-0002-0349-358X
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Koji Tsuda
  role: author
  orcid: https://orcid.org/0000-0002-4288-1606
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Shoichi Matsuda
  role: author
  orcid: https://orcid.org/0000-0002-0640-3404
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: NIMS-OS
  schema: not_defined
- subject: artificial intelligence
  schema: not_defined
- subject: robotic experiments
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: 'Science and Technology of Advanced Materials: Methods'
  issn: '27660400'
  volume: '3'
  issue: '1'
  start_page: 2232297
  end_page: 2232297

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## Specimen



## Chemical composition



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## Fileset

- id: 47c2bdf7-ec53-46a2-a1c6-bfc568c5ea74
  filename: NIMS-OS  an automation software to implement a closed loop between artificial
    intelligence and robotic experiments in materials science.pdf
  content_type: application/pdf
  size: 4198037
  md5: a2c4eefd88780ab051e0d664e83228bb

## Thumbnail

fileset_id: 47c2bdf7-ec53-46a2-a1c6-bfc568c5ea74
filename: NIMS-OS  an automation software to implement a closed loop between artificial
  intelligence and robotic experiments in materials science.pdf