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Chen Xiangqian
Researcher at University of Shanghai for Science and Technology
Publications - 27
Citations - 137
Chen Xiangqian is an academic researcher from University of Shanghai for Science and Technology. The author has contributed to research in topics: Terahertz radiation & Laser. The author has an hindex of 7, co-authored 27 publications receiving 130 citations.
Papers
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Journal ArticleDOI
Annealing-insensitive “black silicon” with high infrared absorption
Yan Peng,Yan Peng,Chen Xiangqian,Zhou Yunyan,Gongjie Xu,Bin Cai,Yiming Zhu,Jian Xu,Ron Henderson,Jianming Dai +9 more
TL;DR: In this article, a black silicon structure with high-aspect-ratio surface spikes was designed and fabricated in vacuum, resulting in absorptance >90% over the range of 200-2500nm.
Patent
Device and method for testing nonlinear polarization coefficient and absorption coefficient at terahertz band
TL;DR: In this article, a method for testing nonlinear polarization coefficient and an absorption coefficient at a terahertz band was proposed. But the method requires a test sample only needed to be arranged at the position of the sample rack or the detection crystal in a light path.
Journal ArticleDOI
Influence of Femtosecond Laser Pulse Number on Spike Geometry of Microstructured Silicon
TL;DR: In this article, the authors experimentally found that there is an approximately linear relation between the average height/interval distance of spikes and the number of injected femtosecond laser pulses for the pulse number below a threshold.
Patent
Method for achieving terahertz wave center frequency continuous adjustability through pulse laser widening
Peng Yan,Zhu Yiming,Zhou Yunyan,Luo Kun,Chen Xiangqian,Fang Dan,Zhong Yu,Zheng Shuqi,Zhuang Songlin +8 more
TL;DR: In this paper, a method for achieving terahertz wave center frequency continuous adjustability through pulse laser widening is proposed, which is suitable for ultrashort pulse lasers of various wavelengths.
Patent
Gas detection and identification sorting system based on terahertz waves
TL;DR: In this paper, a gas detection and identification sorting system based on terahertz waves was proposed. But the system is not suitable for large-scale applications, as it requires the use of a large number of gas atoms and molecules.