Boosting(机器学习)
灵敏度(控制系统)
材料科学
纳米技术
计算机科学
工程类
电子工程
人工智能
作者
Jing Cao,Zixuan Zhang,Shuangming Wang,Sun Zhiying,Jiahao Li,Yao Wang,Xiaoxue Xu,Zhixu Ye,Haiming Zhang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-09-10
标识
DOI:10.1021/acssensors.4c01170
摘要
The performance of semiconductor sensors is determined by reaction kinetics, conductivity, and electron mobility, which are undoubtedly closely related to the electron motion behavior. Therefore, the effective regulation of electronic states is crucial for improving gas sensing properties. Previous methods of enhancing the gas-sensing performance have induced complex material modifications, and the extent of performance improvement is usually very limited. Further optimization of the gas sensing performance requires continuous efforts to advance new technologies. Toward this issue, a novel magnetic field-induced strategy is adopted to boost the carrier transfer efficiency of nonferromagnetic semiconductors. The gas sensing investigation results manifest that the applied magnetic field can effectively enhance the sensitivity and reduce the baseline resistance. The In
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