Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

被引:6
|
作者
Wang, Xiaonan [1 ]
Li, Jie [2 ]
Zheng, Yingzhe [2 ]
Li, Jiali [2 ]
机构
[1] Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China
[2] Natl Univ Singapore, Fac Engn, Dept Chem & Biomol Engn, Singapore 117585, Singapore
关键词
machine learning; modeling; material; industrial applications; environment;
D O I
10.1007/s11705-022-2142-6
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This communication paper provides an overview of multi-scale smart systems engineering (SSE) approaches and their applications in crucial domains including materials discovery, intelligent manufacturing, and environmental management. A major focus of this interdisciplinary field is on the design, operation and management of multi-scale systems with enhanced economic and environmental performance. The emergence of big data analytics, internet of things, machine learning, and general artificial intelligence could revolutionize next-generation research, industry and society. A detailed discussion is provided herein on opportunities, challenges, and future directions of SSE in response to the pressing carbon-neutrality targets.
引用
收藏
页码:1023 / 1029
页数:7
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