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您的检索式：作者名="Runchen Gao"
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| 1 | Macroscopic assembled graphene nanofilms based room temperature ultrafast mid-infrared photodetectors显示文摘Graphene with linear energy dispersion and weak electron-phonon interaction is highly anticipated to harvest hot electrons in a broad wavelength range.However,the limited absorption and serious backscattering of hot-electrons result in inadequate quantum yields,especially in the mid-infrared range.Here,we report a macroscopic assembled graphene(nMAG)nanofilm/silicon heterojunction for ultrafast mid-infrared photodetection.The assembled Schottky diode works in 1.5-4.0μm at room temperature with fast response(20-30 ns,rising time,4 mm2 window)and high detectivity(1.61011 to 1.9109 Jones from 1.5 to 4.0μm)under the pulsed laser,outperforming single-layer-graphene/silicon photodetectors by 2-8 orders.These performances are attributed to the greatly enhanced photo-thermionic effect of electrons in nMAG due to its high light absorption(~40%),long carrier relaxation time(~20 ps),low work function(4.52 eV),and suppressed carrier number fluctuation.The nMAG provides a long-range platform to understand the hot-carrier dynamics in bulk 2D materials,leading to broadband and ultrafast MIR active imaging devices at room temperature. | Li Peng Lixiang Liu Sichao Du Srikrishna Chanakya Bodepudi Lingfei Li Wei Liu Runchen Lai Xiaoxue Cao Wenzhang Fang Yingjun Liu Xinyu Liu Jianhang Lv Muhammad Abid Junxue Liu Shengye Jin Kaifeng Wu Miao-Ling Lin Xin Cong Ping-Heng Tan Haiming Zhu Qihua Xiong Xiaomu Wang Weida Hu Xiangfeng Duan Bin Yu Zhen Xu Yang Xu Chao Gao | 2022 | InfoMat2022，4，6： | 1 |
| 2 | A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving显示文摘With the large-scale application of 5G in industrial production,the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing.In the modern industry,the user often stores data collected by IoT devices in the cloud,but the data at the edge of the network involves a large of the sensitive information,which increases the risk of privacy leakage.In order to address these two challenges,we propose a security strategy in the edge computing.Our security strategy combines the Feistel architecture and short comparable encryption based on sliding window(SCESW).Compared to existing security strategies,our proposed security strategy guarantees its security while significantly reducing the computational overhead.And our GRC algorithm can be successfully deployed on a hardware platform. | Runchen Gao Shen Li Yuqi Gao Rui Guo | 2018 | Cybersecurity2018，1，1： | 0 |
| 3 | A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving显示文摘With the large-scale application of 5G in industrial production,the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing.In the modern industry,the user often stores data collected by IoT devices in the cloud,but the data at the edge of the network involves a large of the sensitive information,which increases the risk of privacy leakage.In order to address these two challenges,we propose a security strategy in the edge computing.Our security strategy combines the Feistel architecture and short comparable encryption based on sliding window(SCESW).Compared to existing security strategies,our proposed security strategy guarantees its security while significantly reducing the computational overhead.And our GRC algorithm can be successfully deployed on a hardware platform. | Runchen Gao Shen Li Yuqi Gao Rui Guo | 2021 | Cybersecurity2021，4，1： | 0 |
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