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NIMS-OS: an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Published in Science and Technology of Advanced Materials: Methods, 2023
Ryo Tamura, Koji Tsuda, Shoichi Matsuda
Robotic experiments have progressed to realize laboratory automation of chemical analysis and high-throughput screening in the field of biology [23–26]. Various types of automated analyzers and pipetting devices have been developed, and robotic arms have been used as a transport system to connect these systems. Moreover, robotic technology has been used to explore novel materials, such as thin-film materials [27,28], battery electrolytes [13,29], and photocatalysts [30]. These studies used BO to automate the proposal of promising experimental conditions. This enables a closed loop of robotic experiments and AI that can perform automated materials exploration without human intervention. This approach involves some key advantages, such as the ability to generate materials data of uniform quality and the absence of human error. In contrast, at present, robotics systems are limited in their ability to perform complex material synthesis tasks that require the skills of experts. Thus, further innovation in robotic devices will be important.