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| 1 | Anchoring Single Nickel Atoms on Carbon-vacant Carbon Nitride Nanosheets for Efficient Photocatalytic Hydrogen Evolution显示文摘Polymeric carbon nitride(PCN)has emerged as a promising candidate for photocatalytic hydrogen evolution,but its dependence on scarce and high-cost noble metal co-catalysts severely limits its extensive application.It will be of great promise to develop non-noble metal single-atom co-catalysts with low-cost and high atom utilization to improve the photocatalytic performance over PCN.Herein,single Ni atoms are successfully anchored onto carbon-vacant PCN nanosheets(CCN-SANi)via a two-step ammonia thermal treatment and photo-deposition process.Theoretical calculations and experimental results demonstrate that the optical absorption property and the charge transfer ability of CCN-SANi have been significantly improved with the introduction of single Ni atoms to form Ni-N3 sites.In comparison to carbon-vacant PCN(CCN)loaded with Ni clusters,the obtained CCN-SANi exhibits 11.4 times increased photocatalytic performance,with the highest hydrogen evolution rate reaching 511μmol/(g·h),which is even 1.7 times higher than that of CCN loaded with Pt clusters.This research proposes an inspiring and reliable strategy to design novel single-atom semiconducting polymers with electronic structures manipulated for efficient photocatalysis. | LIN Zhi ZHANG Zhengqi WANG Yiqing PENG Zhiming WANG Xinxin WANG Ruizhe HUANG Yu-Cheng MENG Fanqi LI Mingtao DONG Chung-Li ZHANG Qinghua GU Lin SHEN Shaohua | 2022 | Chemical Research in Chinese Universities2022，38，5： | 1 |
| 2 | Research on Online Leakage Assessment显示文摘Leakage assessment is the most common approach applied for assessing side-channel information leakage and validating the effectiveness of side-channel countermeasures.Established evaluation approaches are usually based on Test Vector Leakage Assessment(TVLA)that deployed in a divide and conquer flow with offline computations,which causes two apparent shortcomings in required memory and time.In this paper,a lightweight framework of online leakage assessment is proposed.The problems were analyzed and the evaluation approach was further validated with a Field Programmable Gate Array(FPGA).The experimental results show that it can implement online processing on newly collected data,and instantly stop to give the result when detecting credible leakage.The online leakage assessment can significantly economize on memory and time.It has good performance when there is limited memory or real-time evaluations are needed. | Zhengguang Shi Fan Huang Mengce Zheng Wenlong Cao Ruizhe Gu Honggang Hu Nenghai Yu | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 3 | A scheme for realizing nonreciprocal interlayer coupling in bilayer topological systems显示文摘Nonreciprocal interlayer coupling is difcult to practically implement in bilayer non-Hermitian topological photonic systems.In this work,we identify a similarity transformation between the Hamiltonians of systems with nonreciprocal interlayer coupling and on-site gain/loss.The similarity transformation is widely applicable,and we show its application in one-and two-dimensional bilayer topological systems as examples.The bilayer non-Hermitian system with nonreciprocal interlayer coupling,whose topological number can be defned using the gauge-smoothed Wilson loop,is topologically equivalent to the bilayer system with on-site gain/loss.We also show that the topological number of bilayer non-Hermitian C6v-typed domaininduced topological interface states can be defned in the same way as in the case of the bilayer non-Hermitian Su–Schrieffer–Heeger model.Our results show the relations between two microscopic provenances of the non-Hermiticity and provide a universal and convenient scheme for constructing and studying nonreciprocal interlayer coupling in bilayer non-Hermitian topological systems.This scheme is useful for observation of non-Hermitian skin efect in three-dimensional systems. | Xiaoxiao Wang Ruizhe Gu Yandong Li Huixin Qi Xiaoyong Hu Xingyuan Wang Qihuang Gong | 2023 | Frontiers of Optoelectronics2023，16，4： | 0 |
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