自动化
计算机科学
过程(计算)
系统工程
实验室自动化
纳米技术
工程类
机械工程
操作系统
材料科学
作者
Xiting Peng,Xiaonan Wang
出处
期刊:Mrs Bulletin
[Springer Nature]
日期:2023-02-01
卷期号:48 (2): 179-185
被引量:7
标识
DOI:10.1557/s43577-023-00481-z
摘要
The contradiction between the importance of materials to modern society and their slow development process has led to the development of multiple methods to accelerate materials discovery. The recently emerged concept of intelligent laboratories integrates the developments in fields of high-throughput experimentation, automation, theoretical computing, and artificial intelligence to form a system that can autonomously carry out designed experiments and make scientific discoveries. We present the basic concepts and the foundations of this new research paradigm, demonstrate its typical application scenarios through case studies, and envision a collaborative human-machine meta laboratory in the future.
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