Peng Xiting, Wang Xiaonan
Department of Chemical Engineering, Tsinghua University, Beijing, China.
Key Laboratory of Industrial Biocatalysis (Tsinghua University), Ministry of Education, Beijing, China.
MRS Bull. 2023;48(2):179-185. doi: 10.1557/s43577-023-00481-z. Epub 2023 Feb 27.
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.
材料对现代社会的重要性与其缓慢的发展进程之间的矛盾,催生了多种加速材料发现的方法。最近出现的智能实验室概念,融合了高通量实验、自动化、理论计算和人工智能等领域的发展成果,形成了一个能够自主开展设计实验并做出科学发现的系统。我们介绍了这一新研究范式的基本概念和基础,通过案例研究展示了其典型应用场景,并展望了未来的人机协作元实验室。