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Quantum squeezing induced nonreciprocal phonon laser

science China(Physics,Mechanics & Astronomy) 2024年第6期67卷 20-30页

作者： Tian-Xiang Lu Yan Wang keyu Xia Xing Xiao Le-Man Kuang Hui Jing College of Physics and Electronic Information Gannan Normal UniversityGanzhou 341000China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal UniversityChangsha 410081China Academy for Quantum Science and Technology Zhengzhou University of Light IndustryZhengzhou 450002China College of Engineering and Applied Sciences National Laboratory of Solid State Microstructuresand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China

Phonon lasers or coherent amplifications of mechanical oscillations are powerful tools for fundamental studies on coherent acoustics and hold potential for diverse applications,ranging from ultrasensitive force sensing to phononic information ***,we propose the use of an optomechanical resonator coupled to a nonlinear optical resonator for directional phonon *** find that by pumping the nonlinear optical resonator,directional optical squeezing can occur along the pump *** a result,we can achieve the directional mechanical gain using directional optical squeezing,thereby leading to nonreciprocal phonon lasing with a well-tunable directional power *** work proposes a feasible way to build nonreciprocal phonon lasers with various nonlinear optical media,which are important for a wide range of applications,such as directional acoustic amplifiers,invisible sound sensing or imaging,and one-way phononic networks.

关键词： nonreciprocal phonon laser directional quantum squeezing optomechanics

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Novel lead-free NaNbO_(3) -based relaxor antiferroelectric ceramics with ultrahigh energy storage density and high efficiency

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Journal of Materiomics 2022年第2期8卷 295-301页

作者： Jie Jiang Xiongjie Li Ling Li Shun Guo Ji Zhang Jing Wang Heguo Zhu Yiping Wang Shan-Tao Zhang School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing210094China State Key Laboratory of Mechanics and Control of Mechanical Structures College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China National Laboratory of Solid State Microstructures Department of Materials Science and EngineeringCollege of Engineering and Applied Science&Jiangsu Key Laboratory of Artificial Functional Materials&Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China

The development of environmentally friendly ceramics for electrostatic energy storage has drawn growing interest due to the wide application in high power and/or pulsed power electronic ***,it is difficult to simultaneously achieve ultrahigh recoverable energy storage density(W rec>8 J/cm^(3))and high efficiency(η>80%),which restricts their application in the miniaturized,light weight and easy integrated electronic ***,the novel NaNbO_(3)-(Bi_(0.8)Sr_(0.2))(Fe_(0.9) Nb_(0.1))O_(3) relaxor antiferro-electric ceramics,which integrates the merits of antiferroelectrics and relaxors,are demonstrated to exhibit stabilized antiferroelectric phase and enhanced dielectric relaxor *** particular impor-tance is that the 0.88NN-0.12BSFN ceramic achieves giant electric breakdown strength E_(b)=98.3 kV/mm,ultrahigh W _(rec)=16.5 J/cm^(3) and high h=83.3%,as well as excellent frequency,cycling and thermal reliability *** comprehensive energy storage performance of NN-BSFN not only out-performs state-of-the-art dielectric ceramics by comparison,but also displays outstanding potential for next-generation energy storage capacitors.

关键词： Lead-free NaNbO_(3) Relaxor antiferroelectric Energy storage property

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PCB Defect Detection Method Based on Improved RetinaNet 1

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Xu, Yusheng Cao, Xinrong Hu, Rong Keikhosrokiani, Pantea Li, Zuoyong College of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China School of Computer Sciences Universiti Sains Malaysia Penang11800 Malaysia

ISBN: (数字)9783031200991

ISBN: (纸本)9783031200984

In the electronic industry product quality control, PCB defect detection is a crucial part, which has the characteristics of small defect size and high similarity. The existing defect detection methods are still not good enough for detecting small target defects;therefore, the algorithm in this paper proposes an improved algorithm for PCB defect detection based on the RetinaNet model. The ResNet-D residual structure and efficient channel focus module are introduced in the model backbone network to enhance its feature extraction capability and achieve the purpose of improving the detection accuracy. At the same time, the method replaces the original multi-step learning decay strategy with a cosine annealing scheduling learning strategy, which optimizes the training process of the model. Finally, the performance of the method is verified on the publicly available PCB defect dataset from the Open laboratory of Intelligent Robotics, Peking University. The experimental results show that the algorithm improves the mAP value by 3.2% compared with the original algorithm, while the fastest detection speed reaches 36.9 FPS, which can effectively improve the defect detection performance of PCB. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Defects

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Unraveling the role of iron on Ni-Fe alloy nanoparticles during the electrocatalytic ethanol-to-acetate process

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Nano Research 2024年第4期17卷 2328-2336页

作者： Junshan Li Luming Li Xinyu Ma Jun Wang Jun Zhao Yu Zhang Ren He Yaoyue Yang Andreu Cabot Yongfa Zhu Institute for Advanced Study Chengdu University610106 ChengduChina State Key Laboratory of Environmental-Friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China College of Food and Biological Engineering Chengdu UniversityChengdu 610106China School of Chemistry and Environment Southwest Minzu UniversityChengdu 610041China Hebei Key Laboratory of Photoelectric Control on Surface and Interface College of ScienceHebei University of Science and TechnologyShijiazhuang 050018China Catalonia Institute for Energy Research-IREC Sant Adriàde BesòsBarcelona 08930CataloniaSpain ICREA Pg.Lluís Companys 23Barcelona 08010CataloniaSpain Department of Chemistry Tsinghua UniversityBeijing 100084China

The anodic electrooxidation of ethanol to value-added acetate is an excellent example of replacing the oxygen evolution reaction to promote the cathodic hydrogen evolution reaction and save ***,we present a colloidal strategy to produce Ni-Fe bimetallic alloy nanoparticles(NPs)as efficient electrocatalysts for the electrooxidation of ethanol in alkaline ***-Fe alloy NPs deliver a current density of 100 mA·cm^(-2) in a 1.0 M KOH solution containing 1.0 M ethanol merely at 1.5 V *** hydrogen electrode(RHE),well above the performance of other electrocatalysts in a similar *** continuous 10 h testing at this external potential,this electrode is able to produce an average of 0.49 mmol·cm^(-2)·h^(-1) of acetate with an ethanol-to-acetate Faradaic efficiency of 80%.A series of spectroscopy techniques are used to probe the electrocatalytic process and analyze the ***,density functional theory(DFT)calculations demonstrate that the iron in the alloy NPs significantly enhances the electroconductivity and electron transfer,shifts the rate-limiting step,and lowers the energy barrier during the ethanol-to-acetate reaction pathway.

关键词： electrocatalysis ethanol oxidation reaction alloy nanoparticle acetate biorefinery

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Integrated analysis of using high-value microalgae for tetracycline treatment with biomass utilization: Responses, removal pathway, physiological and metabolomic characterization

Water Cycle

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Water Cycle 2025年 6卷 440-448页

作者： Yaqian Yuan Zeyuan Wang Ganlin Hu Yu Hong Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Engineering Research Center for Water Pollution Source Control & Eco-Remediation College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Hebei Key Laboratory for Emerging Contaminants Control and Risk Management College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China

Antibiotic-contaminated wastewater poses serious threats to the ecological environment. While using microalgae for antibiotic removal has been extensively studied, this study provides a comprehensive and integrated analysis of the physiological and metabolic response mechanisms of Chlorella sp. HL to tetracycline (TC). The results showed that Chlorella sp. HL exhibited strong TC resistance and high removal efficiencies (98.63–99.95%). Low TC concentrations (<10 mg/L) promoted microalgal growth, while higher concentrations (>20 mg/L) inhibited its growth. Pigment contents (chlorophyll a , chlorophyll b , and carotenoids) generally increased under the stimulation of TC, except for carotenoids at 1 mg/L TC. The photosynthetic activity of Chlorella sp. HL was significantly affected, and it was reduced at higher concentrations of TC. Antioxidant enzyme activities and malondialdehyde (MDA) content increased with TC concentration, indicating TC could cause oxidative stress. In addition, TC altered the high-value substance contents of Chlorella sp. HL, with protein and lipid contents initially declining but subsequently increasing, while polysaccharide content gradually rose. Metabolomic analysis indicated that Chlorella sp. HL responded to TC stress by regulating carbohydrate metabolism and other pathways. This study provides an integrated analysis of the physiological, biochemical, and metabolomic responses of microalgae to TC. This comprehensive analysis provides new insights into how microalgae adapt to and mitigate TC stress, and especially revealing its metabolic response mechanism to TC. In addition, the potential for utilizing microalgal biomass for high-value products production when removing antibiotics has been investigated. This dual focus on bioremediation and resource production is a novel research direction.

关键词： Tetracycline Microalgae Photosynthesis Biochemical composition Metabolic pathways

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Inference Attack and Privacy Security of Data-driven industrial Process Monitoring Systems

Inference Attack and Privacy Security of Data-driven Industr...

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Data Driven control and Learning Systems (DDCLS)

作者： Xinmin Zhang Xuerui Zhang Zhihuan Song Qinyuan Ren Chihang Wei State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China School of Information Science and Technology Hangzhou Normal University Hangzhou China

In modern industry, data-driven process monitoring systems (PMS), as the initial defense line of industrial control system security, have been widely used in all walks of life. However, the privacy security of the data-driven PMS itself has rarely or never received serious attention. Once the data-driven PMS suffers from intrusion and malicious attacks, it will not only interfere with the normal operation of the industrial control system, but also lead to the disclosure of industrial confidential and privacy information and major economic losses. To handle this issue, this work proposes a novel pioneering study on the inference attack and privacy security problem in the data-driven PMS. Firstly, the potential attack and privacy violation risks of data-driven PMS are investigated. Second, a novel industrial inference attack and privacy security benchmark on data-driven PMS is presented, in which a series of membership inference attack and defense experiments are designed and conducted. Third, we provided a detailed discussion about which member reasoning attacks are the most potential threats to the data-driven PMS and which defense technologies are most suitable for mitigating the attack. The experimental results will provide researchers and practitioners with a new perspective when designing a novel data-driven PMS with more robust and privacy protection performance.

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Changes in factor profiles deriving from photochemical losses of volatile organic compounds:Insight from daytime and nighttime positive matrix factorization ana

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Journal of Environmental sciences 2025年第5期151卷 627-639页

作者： Baoshuang Liu Tao Yang Sicong Kang Fuquan Wang Haixu Zhang Man Xu Wei Wang Jinrui Bai Shaojie Song Qili Dai Yinchang Feng Philip K.Hopke State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control&Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and EngineeringNankai UniversityTianjin 300350China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research Tianjin 300350China Beijing Make Environment Science&Technology Co. Ltd.Beijing 100083China Shijiazhuang Environmental Prediction Center Shijiazhuang 050022China Department of Public Health Sciences University of Rochester School of Medicine and DentistryRochesterNY 14642USA Institute for a Sustainable Environment Clarkson UniversityPotsdamNY 13699USA

Substantial effects of photochemical reaction losses of volatile organic compounds(VOCs)on factor profiles can be investigated by comparing the differences between daytime and nighttime dispersion-normalized VOC data resolved *** speciated VOC data measured in Shijiazhuang,China from May to September 2021 were used to conduct *** mean VOC concentration in the daytime and at nighttime were 32.8 and 36.0 ppbv,*** and aromatics concentrations in the daytime(12.9 and 3.08 ppbv)were lower than nighttime(15.5 and 3.63 ppbv),whereas that of alkenes showed the opposite *** concentration differences between daytime and nighttime for alkynes and halogenated hydrocarbonswere uniformly *** reactivities of the dominant species in factor profiles for gasoline emissions,natural gas and diesel vehicles,and liquefied petroleum gas were relatively low and their profiles were less affected by photochemical *** losses produced a substantial impact on the profiles of solvent use,petrochemical industry emissions,combustion sources,and biogenic emissions where the dominant species in these factor profiles had high *** the profile of biogenic emissions was substantially affected by photochemical loss of isoprene,the low emissions at nighttime also had an important impact on its *** losses of highly active VOC species substantially reduced their concentrations in apportioned factor *** study results were consistent with the analytical results obtained through initial concentration estimation,suggesting that the initial concentration estimation could be the most effective currently availablemethod for the source analyses of active VOCs although with uncertainty.

关键词： Volatile organic compounds Dispersion normalization Photochemical loss Factor profile Positive matrix factorization

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A comprehensive review of electrochemical hybrid power supply systems and intelligent energy managements for unmanned aerial vehicles in public services

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Energy and AI 2022年第3期9卷 148-171页

作者： Caizhi Zhang Yuqi Qiu Jiawei Chen Yuehua Li Zhitao Liu Yang Liu Jiujun Zhang Chan Siew Hwa College of Mechanical and Vehicle Engineering The State Key Laboratory of Mechanical TransmissionsChongqing Automotive Collaborative Innovation CentreChongqing UniversityChongqing400044China College of Automation Chongqing UniversityKey Laboratory of Complex System Safety and ControlMinistry of EducationChongqing UniversityChongqing400044China School of Mechanical Engineering University of Science and Technology BeijingBeijing100083China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou310027China Institute for Sustainable Energy/College of Sciences Shanghai UniversityShanghai 200444China School of Mechanical and Aerospace Engineering Nanyang Technological University50 Nanyang Avenue639798Singapore Sichuan Energy Internet Research Institute Tsinghua UniversityChengdu 610213Sichuan ProvinceChina

The electric unmanned aerial vehicles (UAVs) are rapidly growing due to their abilities to perform some difficult or dangerous tasks as well as many public services including real-time monitoring, wireless coverage, search and rescue, wildlife surveys, and precision agriculture. However, the electrochemical power supply system of UAV is a critical issue in terms of its energy/power densities and lifetime for service endurance. In this paper, the current power supply systems used in UAVs are comprehensively reviewed and analyzed on the existing power configurations and the energy management systems. It is identified that a single type of electrochemical power source is not enough to support a UAV to achieve a long-haul flight;hence, a hybrid power system architecture is necessary. To make use of the advantages of each type of power source to increase the endurance and achieve good performance of the UAVs, the hybrid systems containing two or three types of power sources (fuel cell,battery, solar cell, and supercapacitor,) have to be developed. In this regard, the selection of an appropriate hybrid power structure with the optimized energy management system is critical for the efficient operation of a UAV. It is found that the data-driven models with artificial intelligence (AI) are promising in intelligent energy management. This paper can provide insights and guidelines for future research and development into the design and fabrication of the advanced UAV power systems.

关键词： Unmanned aerial vehicles(UAVs) Power supply system Fuel cell system Artificial intelligence(AI) Energy management systems

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A Reinforcement Learning Based Operation Optimization of Multi-Energy Island Microgrid

A Reinforcement Learning Based Operation Optimization of Mul...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Zhu, Wangwang Yu, Shu Wen, Shuli Zhang, Zhexi Zhao, Qiang Zhang, Bing Jiangsu University Of Science And Technology Ocean College Zhenjiang China Shanghai Jiao Tong University School Of Electronic Information And Electrical Engineering Shanghai China Shanghai Jiao Tong University Key Laboratory Of Control Of Power Transmission And Conversion Ministry Of Education Shanghai China Jiangsu University Of Science And Technology Automation College Zhenjiang China

ISBN: (纸本)9798331529277

As global carbon emissions and fossil fuel consumption increase, the widely utilization of renewable energy have drawn more attention. Island regions, endowed with abundant renewable resources, present a critical opportunity for low-carbon development. This paper introduces a deep reinforcement learning based optimization framework to improve a multi-energy island microgrid. Furthermore, an innovative approach using a fusion model of Transformer and LSTM to predict wind and solar energy outputs, significantly improving the accuracy of renewable energy forecasts. Case analysis results indicate that with the support of the proposed reinforcement learning method, the economic and operation benefits of multi-energy microgrids on islands are achieved and the operational stability is also enhanced. © 2024 IEEE.

关键词： Zero-carbon

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Ultrathin covalent organic framework nanosheet-based photoregulated metal-free oxidase-like nanozyme

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Nano Research 2022年第10期15卷 8783-8790页

作者： Yongwu Peng Minchu Huang Liangjun Chen Chengtao Gong Nanjun Li Ying Huang Changming Cheng College of Materials Science and Engineering and College of Chemical Engineering Zhejiang University of TechnologyHangzhou 310014China State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics(CAEP)Mianyang 612900China Jiangsu Province Engineering Research Center of Agricultural Breeding Pollution Control and Resource Yancheng Teachers UniversityYancheng 224007China

The exploration of low-cost and metal-free nanozymes with oxidase-mimicking activity is highly desired due to their attractive properties and potential ***,it is still challenging and remains unexploited to fully realize oxidase-like nanozyme in the emerging covalent organic frameworks(COFs)due to their polymeric nature and weak photoelectric *** herein report the first example of the preparation and oxidase-mimicking activity of novel ultrathin two-dimensional(2D)COF(termed as TTPA-COF)*** ultrathin TTPA-COF nanosheets with hexagonal layered structure are constructed from two flexible photoactive(diarylamino)benzene-based linkers,and exhibit remarkable catalytic activity toward the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)in the presence of O_(2) due to their large specific surface areas and abundant active ***,it is worth noting that the nanozyme activity could be regulated by external light *** on the oxidasemimicking activity of TTPA-COF nanosheets,a green colorimetric sensor is proposed for the sensitive and selective determination of glutathione(GSH)in a wide linear range of 0.5–40μM with a detection limit of 0.5μ*** work reported here would open new avenues for the exploration of low-cost and high-efficiency nanozymes,as well as extend the application of 2D COF nanosheets in the fields of catalysis and sensing.

关键词： covalent organic framework nanosheets ultrathin photoregulated metal-free oxidase mimics

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