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| 1 | Black phosphorus inverter devices enabled by in-situ aluminum surface modification显示文摘Two-dimensional black phosphorus (BP) generally exhibits a hole-dominated transport characteristic when configured as field-effect transistor devices. The effective control of charge carrier type and concentration is very crucial for the application of BP in complementary electronics. Herein, we report a facile and effective electron doping methodology on BP, through in situ surface modification with aluminum (Al). The electron mobility of few-layer BP is found to be largely enhanced to ~ 10.6 cm^2·V^–1·s^–1 by over 6 times after aluminum modification. In situ photoelectron spectroscopy characterization reveals the formation of Al–P covalent bond at the interface, which can also serve as local gate to tune the transport properties in BP layers. Finally, a spatially-controlled aluminum doping technique is employed to establish a p–n homojunction on a single BP flake, and hence to realize the complementary inverter devices, where the highest gain value of ~ 33 is obtained. | Yue Zheng Zehua Hu Cheng Han Rui Guo Du Xiang Bo Lei Yanan Wang Jun He Min Lai Wei Chen | 2019 | Nano Research2019，12，3： | 5 |
| 2 | Multiple-target detection with use of a modified amplitude-modulated joint transform correlator显示文摘 | Huang Xianlie Lai Hongkai Gao Zehua | 1997 | Appl Opt1997，36，35： | 1 |
| 3 | Fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval SVM显示文摘The fault detection and diagnosis of diesel engine valve clearance can effectively improve the availability and safety of diesel engine and have extremely important value and significance.Diesel engines generally operate in various stable operating conditions,which have important influence on the fault diagnosis.However,many fault diagnosis methods have been put forward under specific stable operating condition based on vibration signal.As the result of great impact caused by operating conditions,corresponding diagnosis models cannot deal with the fault diagnosis under different operating conditions with required accuracy.In this paper,a fault diagnosis of diesel engine valve clearance under variable operating condition based on soft interval support vector machine(SVM)is proposed.Firstly,the fault features with weak condition sensitivity have been extracted according to the influence analysis of fault on vibration signal.Moreover,soft interval constraint has been applied to SVM algorithm to reduce the random influence of vibration signal on fault features.In addition,different machine learning algorithms based on different feature sets are adopted to conduct the fault diagnosis under different operating conditions for comparison.Experimental results show that the proposed method is applicable for fault diagnosis under variable operating condition with good accuracy. | 江志农 Lai Yuehua Mao Zhiwei Zhang Jinjie Lai Zehua | 2021 | High Technology Letters2021，27，2： | 0 |
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