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| 1 | Acetate-assistant efficient cation-exchange of halide perovskite nanocrystals to boost the photocatalytic CO_(2) reduction显示文摘The judicious implantation of active metal cations into the surface of semiconductor nanocrystal(NC)through cation-exchange is one of the facile and viable strategies to enhance the activity of catalysts for photocatalytic CO_(2)reduction,by shortening the transfer pathway of photogenerated carriers and increasing the active sites simultaneously.However,cation-exchange is hard to achieve for halide perovskite NCs owing to the stable octahedron of[PbX6]4−with strong interaction between halogen and lead.Herein,we report a facile method to overcome this obstacle by replacing partial Br−with acetate(Ac−)to generate CsPbBr_(3) NC(coded as CsPbBr_(3−x)Ac_(x)).A small amount of Ac−instead of Br−does not change the crystal structure of halide perovskite.Owing to the weaker interaction between acetate and lead in comparison with bromide,the corresponding octahedron structure containing acetate in CsPbBr_(3−x)Ac_(x) can be easily opened to realize efficient cation-exchange with Ni^(2+) ions.The resulting high loading amount of Ni^(2+) as active site endows CsPbBr_(3−x)Ac_(x) with an improved performance for photocatalytic CO_(2)reduction under visible light irradiation,exhibiting a significantly increased CO yield of 44.09μmol·g^(−1)·h^(−1),which is over 8 and 3 times higher than those of traditional pristine CsPbBr_(3) and nickel doped CsPbBr_(3) NC,respectively.This work provides a critical solution for the efficient metal doping of low-cost halide perovskite NCs to enhance their photocatalytic activity,promoting their practical applications in the field of photocatalysis. | Jialin Cheng Yanfei Mu Liyuan Wu Zhaolei Liu Ke Su Guangxing Dong Min Zhang Tongbu Lu | 2022 | Nano Research2022，15，3： | 3 |
| 2 | Double-ceramic-layer thermal barrier coatings of La 2 Zr 2 O 7 /YSZ deposited by electron beam-physical vapor deposition显示文摘 | Zhenhua Xu Limin He Rende Mu Xinghua Zhong Yanfei Zhang Jiangfeng Zhang Xueqiang Cao | 2008 | Journal of Alloys and Compounds2008，，1： | 1 |
| 3 | Double-ceramic-layer thermal barrier coatings of La 2 Zr 2 O 7 /YSZ deposited by electron beam-physical vapor deposition显示文摘 | Zhenhua Xu Limin He Rende Mu Xinghua Zhong Yanfei Zhang Jiangfeng Zhang Xueqiang Cao | 2008 | Journal of Alloys and Compounds2008，，1： | 1 |
| 4 | An uncertain contract model for rural migrant worker' s employment problems 显示文摘 | Rui Mu Yanfei Lan Wansheng Tang | 2013 | Fuzzy Optimization and Decision Making2013，12，1： | 1 |
| 5 | Stochastic Learning for Opportunistic Peer-to-Peer Computation Offloading in IoT Edge Computing显示文摘Peer-to-peer computation offloading has been a promising approach that enables resourcelimited Internet of Things(IoT)devices to offload their computation-intensive tasks to idle peer devices in proximity.Different from dedicated servers,the spare computation resources offered by peer devices are random and intermittent,which affects the offloading performance.The mutual interference caused by multiple simultaneous offloading requestors that share the same wireless channel further complicates the offloading decisions.In this work,we investigate the opportunistic peer-to-peer task offloading problem by jointly considering the stochastic task arrivals,dynamic interuser interference,and opportunistic availability of peer devices.Each requestor makes decisions on both local computation frequency and offloading transmission power to minimize its own expected long-term cost on tasks completion,which takes into consideration its energy consumption,task delay,and task loss due to buffer overflow.The dynamic decision process among multiple requestors is formulated as a stochastic game.By constructing the post-decision states,a decentralized online offloading algorithm is proposed,where each requestor as an independent learning agent learns to approach the optimal strategies with its local observations.Simulation results under different system parameter configurations demonstrate the proposed online algorithm achieves a better performance compared with some existing algorithms,especially in the scenarios with large task arrival probability or small helper availability probability. | Siqi Mu Yanfei Shen | 2022 | China Communications2022，19，7： | 1 |
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