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

被引：7

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

来源：

FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING | 2022年 / 16卷 / 06期

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

页码：1023 / 1029

页数：7

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