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A new class of luminescent nanoprobes based on main-group Sb^(3+) emitters

Nano Research 2022年第1期15卷 179-185页

作者： Chunguang Zhang Meiran Zhang Wei Zheng Jiaojiao Wei Shiteng Wang Ping Huang Xingwen Cheng Tao Dai Zhuo Chen Xueyuan Chen CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Key Laboratory of Nanomaterialsand State Key Laboratory of Structural ChemistryFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China College of Chemistry and Materials Science Fujian Normal UniversityFuzhou 350007China Fujian Science Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China

Inorganic luminescent nanocrystals(NCs)doped with main-group ns^(2)-metal ions have evoked tremendous interest in many technological fields owing to their superior optical ***,we report a new class of luminescent nanoprobes based on 5s2-metal Sb3+-doped CaS NCs that are excitable by using a near ultraviolet light-emitting *** optical properties and excited-state dynamics of Sb3+in CaS NCs are comprehensively surveyed through temperature-dependent steady-state and transient photoluminescence(PL)*** to the strong electron-phonon coupling of Sb^(3+)in CaS NCs,Sb3+ions experience a dynamic Jahn-Taller distortion on the excited state,which results in bright green PL of Sb3+with a broad emission band,a large Stokes shift,and a high PL quantum yield up to 17.3%.By taking advantage of the intense PL of Sb^(3+),we show in proof-of-concept experiments the application of biotinylated CaS:Sb^(3+)NCs as sensitive luminescent nanoprobes for biotin receptor-targeted cancer cell imaging and zebrafish imaging with a high imaging *** findings provide fundamental insights into the excited-state dynamics of Sb^(3+)in CaS NCs,thus laying a foundation for future design of novel and versatile luminescent nanoprobes via main-group ns2-metal doping.

关键词： CaS Sb^(3+) photoluminescence excited-state dynamics nanoprobe bioimaging

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Pressure-stabilized electride Li10Si with superconducting and superionic behavior

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Physical Review B 2024年第13期110卷 134114页

作者： Qinfang Wang Wenwen Cui Weishuo Xu Kun Gao Jian Hao Jingming Shi Hanyu Liu Yinwei Li Laboratory of Quantum Functional Materials Design and Application School of Physics and Electronic Engineering Key Laboratory of Material Simulation Methods and Software of Ministry of Education and State Key Laboratory of Superhard Materials College of Physics Shandong Key Laboratory of Optical Communication Science and Technology School of Physical Science & Information Technology of

Electrides have attracted increasing interest due to their diversely physical properties, including low work function, high catalytic activity, as well as potential superconductivity. In this work, using first-principles crystal structure prediction method in combination with first-principles calculations, we uncovered seven thermodynamically stable electrides in the electron-rich Li-Si system at a pressure range of 25–100 GPa, namely C2/cLi5Si, CmcmLi6Si, P21/mLi7Si, ImmaLi7Si, C2/cLi8Si, CmcmLi9Si, and I222Li10Si. Among these predicted structures, five of them are superconductor. In particular, the superconducting critical temperature Tc of I222Li10Si was estimated to be approximately 15 K at 95 GPa. Our in-depth analysis shows that this high superconductivity is attributed to the strong coupling between the Li-p electrons and the Li-dominated phonon softening at low frequencies. Additionally, Li10Si undergoes a phase transition from solid state to superionic state at 60 GPa and 850 K, where Si atoms remain fixed to form the lattice, allowing for the diffusion of Li atoms within the interstitial position. Our results reveal the emergence of two distinct dynamic states of superconducting and superionic in this particular system, and the further experimental studies are thus stimulated.

关键词： Superconductors Density functional calculations Density functional theory First-principles calculations

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The Analytical Solution for the Bistatic Quantum Radar Scattering of the 2D Elliptical Plate

The Analytical Solution for the Bistatic Quantum Radar Scatt...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Fang, Chonghua Xinyang, Shi Yang, Yuanpeng Wang, Qingyao China Ship Development and Design Centre Science and Technology on Electromagnetic Compatibility Laboratory Wuhan430061 China Wuhan Maritime Communication Research Institute Wuhan430061 China

ISBN: (纸本)9781733509657

The quantum radar technology is very much in its infancy. There still exist fundamental issues about the calculation of its radar signatures, especially in the 2D elliptical plate. In this study, we have developed an analytical solution for the bistatic quantum radar scattering of the 2D elliptical plate. Besides, the influence of incident frequency and the angles on the bistatic quantum cross section (BIQRCS) for the object were obtained. Finally, we also revealed that the envelope curves of sidelobes in BIQRCS at the given incidence almost display the invariance in frequency. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Computational electromagnetics

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Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches

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science China(Life sciences) 2022年第3期65卷 529-539页

作者： Zhaoping Xiong Ziqiang Cheng Xinyuan Lin Chi Xu Xiaohong Liu Dingyan Wang Xiaomin Luo Yong Zhang Hualiang Jiang Nan Qiao Mingyue Zheng Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and TechnologyShanghaiTech UniversityShanghai 200031China Drug Discovery and Design Center State Key Laboratory of Drug ResearchShanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China School of Information Science and Technology University of Science and Technology of ChinaHefei 230000China Laboratory of Health Intelligence Huawei Technologies Co.LtdShenzhen 518100China

Artificial intelligence(AI)models usually require large amounts of high-quality training data,which is in striking contrast to the situation of small and biased data faced by current drug discovery *** concept of federated learning has been proposed to utilize distributed data from different sources without leaking sensitive information of the *** emerging decentralized machine learning paradigm is expected to dramatically improve the success rate of AI-powered drug ***,we simulated the federated learning process with different property and activity datasets from different sources,among which overlapping molecules with high or low biases exist in the recorded *** the benefit of gaining more data,we also demonstrated that federated training has a regularization effect superior to centralized training on the pooled datasets with high ***,different network architectures for clients and aggregation algorithms for coordinators have been compared on the performance of federated learning,where personalized federated learning shows promising *** work demonstrates the applicability of federated learning in predicting drug-related properties and highlights its promising role in addressing the small and biased data dilemma in drug discovery.

关键词： federated learning drug discovery Fed AMP Non-IID data

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Robust and Flexible Multimaterial Aerogel Fabric Toward Outdoor Passive Heating

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Advanced Fiber Materials 2022年第6期4卷 1545-1555页

作者： Jiawei Wu Manni Zhang Minyu Su Yuqi Zhang Jun Liang Shaoning Zeng Baishun Chen Li Cui Chong Hou Guangming Tao Wuhan National Laboratory for Optoelectronics and State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiPeople’s Republic of China School of Optics and Electronic Information Huazhong University of Science and TechnologyWuhan 430074HubeiPeople’s Republic of China Department of Textile Garment and DesignChangshu Institute of TechnologySuzhou 215500JiangsuPeople’s Republic of China College of Materials and Textile Engineering Jiaxing UniversityJiaxing 314001ZhejiangPeople’s Republic of China

Outdoor passive heating to maintain a constant human body temperature is critical for human ***,most traditional energy-exhausted heating systems and inefficient passive heating technologies are incapable of dealing with the cold outdoor *** fabrics with low thermal radiation and conduction to passively heat the human body is a viable way to overcome the constraints of existing passive heating ***,a multimaterial aerogel fabric was developed to realize passive personal heating without any energy *** multimaterial aerogel fabric was fabricated by coating an Ag layer on an aerogel composite *** lightweight aerogel composite fabric,woven from aerogel composite fibers with multi-scale porous structure,exhibits excellent thermal insulation,self-cleaning,mechanical and thermal ***,by coating with an Ag layer,the multimaterial aerogel fabric exhibits both low thermal conductivity and low infrared emissivity at 7–14μm,demonstrating superior thermal insulating *** a result,the proposed multimaterial aerogel fabric with a thickness of only 1.29 mm is capable of improving the human body temperarure of 5.7℃ in a cold environment without energy *** strategy offers a potential energy-saving alternative for future outdoor passive heating.

关键词： Outdoor passive heating Aerogel fabric Thermal insulation Porous structure

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The application of Deep Reinforcement Learning in Coordinated Control of Nuclear reactors 4

The application of Deep Reinforcement Learning in Coordinate...

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2021 4th International Conference on Mechatronics and Computer technology Engineering, MCTE 2021

作者： Li, Jing Liu, Yanyang Qing, Xianguo Xiao, Kai Zhang, Ying Yang, Pengcheng Yang, Yue Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China Department of Engineering The University of Sydney Sydney2006 Australia

The nuclear reactor control system plays a crucial role in the operation of nuclear power plants. The coordinated control of power control and steam generator level control has become one of the most important control problems in these systems. In this paper, we propose a mathematical model of the coordinated control system, and then transform it into a reinforcement learning model and develop a deep reinforcement learning control algorithm so-called DDPG algorithm to solve the problem. Through simulation experiments, our proposed algorithm has shown an extremely remarkable control performance. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Steam generators

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Unlimited near-infrared photoswitching in inorganic photon avalanching nanocrystals

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science China Materials 2023年第8期66卷 3379-3380页

作者： Jin Xu Guoqin Ma Xueyuan Chen CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Key Laboratory of NanomaterialsState Key Laboratory of Structural ChemistryFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China Fujian College University of Chinese Academy of SciencesFuzhou 350116China

Luminescent materials capable of photoswitching driven by optical stimulation have been the robust tools of diverse advanced technologies,including superresolution imaging,nanophotonics,data storage,and optogenetics[1].Up to date,various kinds of photoswitchable materials have been developed,most of which(e.g.,organic fluorophores and proteins)are prone to photodegradation and usually operate in the ultraviolet or visible spectral regions[2].Near-infrared(NIR)light excitable inorganic upconversion nanocrystals(NCs)can offer significantly improved photostability and penetration depth.

关键词： inorganic ultraviolet visible

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Joint Uplink and Downlink Robust Transmission for Cell-Free Networks

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IEEE Transactions on Wireless Communications 2024年第10期23卷 15308-15321页

作者： Zhang, Guangyang Lu, Yang Li, Mingchun Zhong, Zhangdui Quek, Tony Q. S. Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China Beijing Jiaotong University School of Computer Science and Technology Beijing100044 China Beijing Jiaotong University School of Electronic and Information Engineering Key Laboratory of Railway Industry of Broadband Mobile Information Communications Beijing100044 China Singapore University of Technology and Design Tampines487372 Singapore Yonsei University Seoul03722 Korea Republic of

This paper investigates the joint uplink (UL) and downlink (DL) robust transmission design for cell-free networks. The total data amount of the UL and DL transmissions is maximized in the presence of the statistical channel state information error by optimizing the UL digital combiners, UL transmission power, DL transmit beamforming vectors and UL/DL time allocation subject to the tolerable UL/DL outage probability constraints, the UL/DL minimum data amount requirements and the UL/DL power budgets. To tackle the variables coupling in outage probability constraints, the property of perspective function and the quadratic transform are applied. Then, the Bernstein-type inequality is used to derive the computationally tractable forms of the outage probability constraints. The considered problem is further decomposed into four subproblems and solved by the proposed alternating optimization (AO)-based algorithm. Numerical results show the proposed algorithm outperforms three existing AO-based baselines in terms of convergence speed and optimality performance. The impacts of the UL transmission power and tolerable outage probability on the UL/DL transmission and time allocation are revealed. Moreover, the effective APs for each user are defined and illustrated to show the coordination among the APs. © 2024 IEEE.

关键词： Channel state information

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Microstructure Evolution During Post-heat Treatment of Haynes 282 Alloy Processed by Wire-Arc Additive Manufacturing 10th

Microstructure Evolution During Post-heat Treatment of Hayne...

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10th International Symposium on Superalloy 718 and Derivatives, 2023

作者： Pizano, Luis Fernando Ladinos Sridar, Soumya Sudbrack, Chantal Xiong, Wei Physical Metallurgy and Materials Design Laboratory Department of Mechanical Engineering and Materials Science University of Pittsburgh PittsburghPA15261 United States National Energy Technology Laboratory AlbanyOR97321 United States

ISBN: (纸本)9783031274466

Post-heat treatment optimization is imperative to improve the mechanical properties of superalloys prepared by additive manufacturing. In this work, the effect of solution treatment on the microstructural heterogeneity and γ′ precipitation of Haynes 282 fabricated by wire-arc additive manufacturing (WAAM) has been investigated. The results suggest that the standard solution treatment carried out at 1150 °C for 2 h is insufficient to remove the grain texture developed during WAAM. Instead, a heat treatment at 1250 °C for 2 h facilitates homogenization and recrystallization without causing excessive coarsening. Furthermore, solution treatment temperature affects the kinetics of γ′ precipitate growth. By increasing the solution heat treatment temperature from 1150 to 1250 °C, strengthening γ′ precipitates grow faster, achieving the peak hardness earlier. Moreover, the increase in solution temperature favors the development of a bimodal distribution of γ′ precipitates during aging. This work demonstrates the need for an effective post-heat treatment to eliminate the heterogeneities that are formed during the WAAM process and alter the γ′ size distribution to improve the mechanical performance of Haynes 282 alloy. © 2023, The Minerals, Metals & Materials Society.

关键词： 3D printing

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Deep-Learning-Assisted Underwater 3D Tactile Tensegrity

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Research 2023年第3期2023卷 683-695页

作者： Peng Xu Jiaxi Zheng Jianhua Liu Xiangyu Liu Xinyu Wang Siyuan Wang Tangzhen Guan Xianping Fu Minyi Xu Guangming Xie Zhong Lin Wang Dalian Key Laboratory of Marine Micro/Nano Energy and Self-powered Systems Marine Engineering CollegeDalian Maritime UniversityDalian 116026China School of Information Science and Technology Dalian Maritime UniversityDalian 116026China Intelligent Biomimetic Design Lab College of EngineeringPeking UniversityBeijing 100871China Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 100871China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

The growth of underwater robotic applications in ocean exploration and research has created an urgent need for effective tactile ***,we propose an underwater 3-dimensional tactile tensegrity(U3DTT)based on soft self-powered triboelectric nanogenerators and deep-learning-assisted data *** device can measure and distinguish the magnitude,location,and orientation of perturbations in real time from both flow field and interaction with obstacles and provide collision protection for underwater vehicles *** is enabled by the structure that mimics terrestrial animals’musculoskeletal systems composed of both stiff bones and stretchable ***,when successfully integrated with underwater vehicles,the U3DTT shows advantages of multiple degrees of freedom in its shape modes,an ultrahigh sensitivity,and fast response times with a low cost and *** real-time 3-dimensional pose of the U3DTT has been predicted with an average root-mean-square error of 0.76 in a water pool,indicating that this developed U3DTT is a promising technology in vehicles with tactile feedback.

关键词： underwater tile stiff

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