Advances in metal oxide semiconductor gas sensor arrays based on machine learning algorithms
Chinese Academy of Sciences · State Key Laboratory of Transducer Technology · +3 more institutions
Abstract
In this article, we summarize the progress of materials, mechanisms and ML-assisted gas sensing data processing for MOS gas sensor arrays, with a view to providing a breakthrough direction for future research.
Citation impact
- FWCI
- 31.19
- Percentile
- 100%
- References
- 145
Authors
5- JHJiangchao Han
Chinese Academy of Sciences, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, University of Chinese Academy of Sciences
- HLHuizi Li
Chinese Academy of Sciences, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, University of Chinese Academy of Sciences
- JCJiangong ChengCorresponding
Chinese Academy of Sciences, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, University of Chinese Academy of Sciences
- XMXiang MaCorresponding
East China University of Science and Technology
- YFYanyan FuCorresponding
Chinese Academy of Sciences, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, University of Chinese Academy of Sciences
Topics & keywords
- Materials science
- Semiconductor
- Oxide
- Metal
- Key (lock)
- Nanotechnology
- Algorithm
- Optoelectronics