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Uniformly dispersed zinc-tin alloy as high-performance anode for aqueous zinc ion batteries

Journal of Materials science and technology 2025年 219卷 10-18页

作者： Ge, Xumeng Peng, Zhi Zhang, Qingqing Zhu, Jing Zhao, Ningning Zhang, Zekun Meng, Wei Li, Bin Wang, Ling Tian, Huajun Dai, Lei He, Zhangxing School of Chemical Engineering North China University of Science and Technology Tangshan063009 China Key Laboratory of Power Station Energy Transfer Conversion and System of Ministry of Education and School of Energy Power and Mechanical Engineering North China Electric Power University Beijing102206 China

Uncontrolled dendrite and side reactions of aqueous zinc ion batteries (AZIBs) hinder their commercial application. To overcome these obstacles, a novel zinc alloy anode for multifunctional AZIBs was designed by incorporating metal elements into the zinc anode. The metal elements are intended to improve the overall electrochemical performance of the battery by solving the zinc anode problem in an "incorporation" manner. In this study, the effect of Sn-induced surface structure reconstruction on the diffusion and deposition behavior of Zn2+ was investigated using binary zinc alloy (Zn@Sn) as a zinc anode. The zinc anode with Zn (002) crystal plane as the preferred crystal plane was able to inhibit the disordered growth of zinc dendrites, and the introduction of Sn elements enhanced the anti-hydrogen evolution reaction ability of the zinc anode. At a current density of 1.2 mA cm–2, the Zn@Sn symmetric cell was able to maintain stable operation for 1000 h, demonstrating a more prominent deposition/stripping stability. This work provides a promising strategy and new insights into the design of electrolyte-anode interfacial protection. © 2024

关键词： Tin alloys

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Simulation study of multi-layer titanium nitride nanodisk broadband solar absorber and thermal emitter

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Communications in Theoretical Physics 2024年第11期76卷 151-160页

作者： Xi Huang Yingting Yi Qianju Song Zao Yi Can Ma Chaojun Tang Qingdong Zeng Shubo Cheng Rizwan Raza School of Mathematics and Science Joint Laboratory for Extreme Conditions Matter PropertiesThe State Key Laboratory of Environment-friendly Energy MaterialsTianfu Institute of Research and InnovationSouthwest University of Science and TechnologyMianyang 621010China College of Physics Central South UniversityChangsha 410083China Department of Oncology Sichuan Science City HospitalMianyangSichuan Province 621000China School of Chemistry and Chemical Engineering Jishou UniversityJishou 416000China College of Science Zhejiang University of TechnologyHangzhou 310023China School of Physics and Electronic-information Engineering Hubei Engineering UniversityXiaogan 432000China School of Physics and Optoelectronic Engineering Yangtze UniversityJingzhouHubei 434023China Department of Physics COMSATS Institute of Information Technology 54000 LahorePakistan

Solar energy has always been a kind of energy with large reserves and wide *** is well utilized through solar *** our study,the finite difference time domain method(FDTD)is used to simulate the absorber composed of refractory metal materials,and its absorption performance and thermal emission performance are *** ultra-wide band of 200 nm-3000 nm reaches 95.93%absorption efficiency,of which the bandwidth absorption efficiency of2533 nm(200 nm-2733 nm)is greater than 90%.The absorption efficiency in the whole spectrum range(200 nm-2733 nm)is 97.17%on *** multilayer nanodisk structure of the absorber allows it to undergo strong surface plasmon resonance and near-field coupling when irradiated by incident *** thermal emission performance of the absorber enables it to also be applied to the thermal *** thermal emission efficiency of 95.37%can be achieved at a high temperature of up to 1500 ***,the changes of polarization and incident angle do not cause significant changes in *** the gradual change of polarization angle(0°-90°),the absorption spectrum maintains a high degree of *** the incident angle increases from 0°to 60°,there is still 85%absorption *** high absorption efficiency and excellent thermal radiation intensity of ultra-wideband enable it to be deeply used in energy absorption and conversion applications.

关键词： surface plasmon resonance multi-layer nanodisk structure ultra-wideband efficient absorption rate high thermal radiation intensity

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RSAPower: Random Style Augmentation Driven Structure Perception Network for Generalized Retinal OCT Fluid Segmentation

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IEEE Transactions on Medical Imaging 2025年第5期44卷 2353-2367页

作者： Lu, Chenggang Guo, Zhitao Zhang, Dan Mou, Lei Yuan, Jinli Ma, Shaodong Chen, Da Zhao, Yitian Xia, Kewen Zhang, Jiong Hebei University of Technology School of Artificial Intelligence School of Electronic and Information Engineering Tianjin300401 China Chinese Academy of Sciences Laboratory of Advanced Theranostic Materials and Technology Ningbo Institute of Materials Technology and Engineering Ningbo China Innovation and Research Institute of Hebei University of Technology in Shijiazhuang Shijiazhuang China Ningbo University of Technology School of Cyber Science and Engineering Ningbo China Ningbo Cixi Institute of Biomedical Engineering China Qilu University of Technology Jinan China

Optical Coherence Tomography (OCT) imaging is extensively utilized for non-invasive observation of pathological conditions, such as retinal fluid-associated diseases. Accurate fluid segmentation in OCT images is therefore critical for quantifying disease severity and aiding clinical decision-making. However, achieving precise segmentation remains challenging due to pathological variations in shape and size, uncertain boundaries, and low contrast of fluid. Most importantly, variability in OCT image styles across different vendors and centers significantly affects fluid segmentation, leading to poor generalization to unseen domains. To address this, we propose a novel method, RSAPower, to enhance the generalization ability of fluid perception networks via style augmentation for retinal fluid segmentation. Specifically, RSAPower comprises a plug-and-play random style transform augmentation (RSTAug) module and a novel fluid perception network (FLPNet) for end-to-end training. The RSTAug module generates new random-style data from the source domain, preserving realistic pathological and structural features. The FLPNet benefits from a novel hybrid structure attention (HSA) module to perceive fluid's spatial features and long-range dependence. Furthermore, FLPNet adapts to the diverse augmented data through a saliency-guided multi-scale attention (SGMA) block, boosting its segmentation performance. We validate RSAPower against various state-of-the-art methods using two publicly available datasets, Retouch and Kermany. Experimental results demonstrate the proposed method's superior generalization ability and effectiveness in fluid segmentation. © 1982-2012 IEEE.

关键词： Optical coherence tomography

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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm

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CAAI Transactions on Intelligence technology 2024年第6期9卷 1347-1360页

作者： Jing Yang Touseef Sadiq Jiale Xiong Muhammad Awais Uzair Aslam Bhatti Roohallah Alizadehsani Juan Manuel Gorriz Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversiti MalayaKuala LumpurMalaysia Centre for Artificial Intelligence Research(CAIR) Department of Information and Communication TechnologyUniversity of AgderGrimstadNorway Department of Creative Technologies Air UniversityIslamabadPakistan School of Information and Communication Engineering Hainan UniversityHaikouHainanChina Institute for Intelligent Systems Research and Innovation(IISRI) Deakin UniversityWaurn PondsVictoriaAustralia Data Science and Computational Intelligence Institute University of GranadaGranadaSpain

Myocarditis is a serious cardiovascular ailment that can lead to severe consequences if not promptly *** is triggered by viral infections and presents symptoms such as chest pain and heart *** detection is crucial for successful treatment,and cardiac magnetic resonance imaging(CMR)is a valuable tool for identifying this ***,the detection of myocarditis using CMR images can be challenging due to low contrast,variable noise,and the presence of multiple high CMR slices per *** overcome these challenges,the approach proposed incorporates advanced techniques such as convolutional neural networks(CNNs),an improved differential evolution(DE)algorithm for pre-training,and a reinforcement learning(RL)-based model for *** this method presented a significant challenge due to the imbalanced classification of the Z-Alizadeh Sani myocarditis dataset from Omid Hospital in *** address this,the training process is framed as a sequential decision-making process,where the agent receives higher rewards/penalties for correctly/incorrectly classifying the minority/majority ***,the authors suggest an enhanced DE algorithm to initiate the backpropagation(BP)process,overcoming the initialisation sensitivity issue of gradient-based methods like back-propagation during the training *** effectiveness of the proposed model in diagnosing myocarditis is demonstrated through experimental results based on standard performance ***,this method shows promise in expediting the triage of CMR images for automatic screening,facilitating early detection and successful treatment of myocarditis.

关键词： classification differential evolution myocarditis reinforcement learning

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Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Resolution Magnetic Field Measurement

Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Res...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Yao, Yucheng Zhao, Zhiyong Han, Jun-Bo Liu, Jing Chen, Shuyan Liu, Zhuyixiao Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Wuhan National High Magnetic Field Center Department of Physics Huazhong University of Science and Technology Wuhan430074 China

By utilizing a microwave photonics-interrogated Fabry-Perot interferometer fabricated on a Terfenol-D slab, an ultra-high resolution magnetic field sensor is achieved with a maximum sensitivity of 4.6 MHz/mT, and a re... 详细信息

ISBN: (纸本)9781957171395

关键词： Fabry-Perot interferometers

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system reliability evaluation method considering physical dependency with FMT and BDD analytical algorithm

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Journal of systems engineering and Electronics 2022年第1期33卷 222-232页

作者： CHEN Ying WANG Yanfang YANG Song KANG Rui School of Reliability and System Engineering Beihang UniversityBeijing 100191China Science and Technology on Reliability and Environmental Engineering Laboratory Beihang UniversityBeijing 100191China China Academy of Launch Vehicle Technology Bejing 100076China

Recently, the physics-of-failure(PoF) method has been more and more popular in engineering to understand the failure mechanisms(FMs) of ***, due to the lack of system modeling methods and problem-solving algorithms,the information of FMs cannot be used to evaluate system *** paper presents a system reliability evaluation method with failure mechanism tree(FMT) considering physical dependency(PDEP) such as competition, trigger, acceleration, inhibition, damage accumulation, and parameter *** the binary decision diagram(BDD) analytical algorithm is developed to establish a system reliability *** operation rules of ite operators for generating BDD are *** flow chart of system reliability evaluation method based on FMT and BDD is *** proposed method is applied in the case of an electronic controller drive *** show that the method is effective to evaluate system reliability from the perspective of FM.

关键词： system reliability modeling failure physical dependency failure mechanism tree(FMT) binary decision diagram(BDD)

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An artificial neural network chip based on two-dimensional semiconductor

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science Bulletin 2022年第3期67卷 270-277页

作者： Shunli Ma Tianxiang Wu Xinyu Chen Yin Wang Hongwei Tang Yuting Yao Yan Wang Ziyang Zhu Jianan Deng Jing Wan Ye Lu Zhengzong Sun Zihan Xu Antoine Riaud Chenjian Wu David Wei Zhang Yang Chai Peng Zhou Junyan Ren Wenzhong Bao State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433China State Key Laboratory of ASIC and System School of Information Science and TechnologyFudan UniversityShanghai 200433China Shenzhen Sixcarbon Technology Shenzhen 518106China School of Electronic and Information Engineering Soochow UniversitySuzhou 215006China Department of Applied Physics The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina

Recently,research on two-dimensional(2D)semiconductors has begun to translate from the fundamen-tal investigation into rudimentary functional *** this work,we unveil the first functional MoS2 artificial neural network(ANN)chip,including multiply-and-accumulate(MAC),memory and activation function *** MoS2 ANN chip is realized through fabricating 818 field-effect transistors(FETs)on a wafer-scale and high-homogeneity MoS2 film,with a gate-last process to realize top gate structured FETs.A 62-level simulation program with integrated circuit emphasis(SPICE)model is utilized to design and optimize our analog ANN *** demonstrate a practical application,a tactile digit sensing recognition was demonstrated based on our ANN *** training,the digit recognition rate exceeds 97%.Our work not only demonstrates the protentional of 2D semiconductors in wafer-scale inte-grated circuits,but also paves the way for its future application in AI computation.

关键词： MoS_(2) Two-dimensional(2D)FETs Artificial neural network(ANN) Multiply-and-accumulate(MAC) Circuits

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Improved subarray coherence factor beamformer for ultrasound plane-wave imaging

Improved subarray coherence factor beamformer for ultrasound...

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2023 International Congress on Ultrasonics, ICU Beijing 2023

作者： Guan, Huchang Jiang, Chen Xu, Kailiang Ta, Dean Department of Biomedical Engineering School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai201203 China Micro-nano System Center School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Fudan University China

Coherent plane-wave compounding (CPWC) has gained significant traction in medical ultrasound imaging. The coherence factor (CF) weighting algorithm, a classical adaptive beamforming strategy, aims to enhance the CPWC imaging lateral resolution, but it also noticeably compromises the speckle patterns, *** a low signal-to-noise ratio (SNR). Delay multiply and sum (DMAS) has been proposed to reduce side lobes. However, the reconstructed image quality with DMAS is limited in terms of resolution and speckle level. In the present study, an improved subarray coherence factor (ISCF) algorithm is introduced by combining CF with DMAS strategies, aiming to improve the contrast and resolution while preserving the speckle level. The performance of the proposed algorithm is evaluated using simulation and phantom datasets. Results indicate that the resolution and the contrast of ISCF can be improved by 41.6% and 79.4%, respectively;compared with delay and sum (DAS) algorithm. Additionally, the resolution and the speckle level of ISCF can be improved by 10.6% and 35.7% compared with CF algorithm, respectively. The proposed ISCF algorithm outperforms CF in terms of resolution, contrast, and speckle preservation. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Ultrasonic imaging

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Study on thermal cycling ageing resistance of performances of polypropylene/elastomer/boron nitride nanocomposites for high voltage direct current cable insulation

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High Voltage 2024年第3期9卷 556-565页

作者： Jing Li Yu Gao Zheng Song Baixin Liu Chenyi Guo Yu Chen Junguo Gao Boxue Du School of Electrical and Information Engineering Tianjin UniversityTianjinChina State Grid Tianjin Chengxi Electric Power Supply Branch TianjinChina State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong UniversityXi'anChina Key Laboratory of Engineering Dielectrics and Its Application Ministry of EducationHarbin University of Science and TechnologyHarbinChina

The influences of thermal cycling ageing on structures and insulation performances of polypropylene(PP)/elastomer/boron nitride(BN)nanocomposites are *** Melt blending method was used to prepare the nanocomposites,in which propylene-based elastomer(PBE)or ethylene-octene copolymer elastomer(EOC)was contained for ***,the samples were treated using a thermal cycling process with a temperature range from-30 to 150℃,and the number of thermal cycles was set from 0 to *** electron microscope(SEM),Fourier transform infrared spectroscopy(FTIR),differential scanning calorimetry and X-ray diffraction measurements were taken to facilitate the comprehension of structural ***,measurements were taken to assess the trap distribution and direct current(DC)breakdown strength of the *** obtained results revealed that following thermal cycling ageing,the morphology and crystallinity of PP/PBE/BN remained almost *** contrast,PP/EOC/BN exhibited substantial microstructural damage accompanied by a significant reduction in *** the number of thermal cycles increased,the trap level and DC breakdown strength of PP/PBE/BN were maintained at high levels,while those of PP/EOC/BN initially remained stable but then experienced a sharp *** is sug-gested that the addition of BN nanoparticles enhances the thermal cycling ageing resis-tance of the PP/PBE blend,whereas it weakens this resistance of the PP/EOC blend.

关键词： cycling resistance thermal

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Study of AWG optoelectronic hybrid integrated chip for FBG interrogation

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Optoelectronics Letters 2024年

作者： YANG Yiyao YUAN Pei XU Ran LI Bingxiang Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument， Beijing Information Science & Technology University Beijing Laboratory of Optical Fiber Sensing and System， Beijing Information Science & Technology University

To achieve continuous demodulation， high precision， and high resolution in the C-band， this paper designs simulates and prepares a 30-channel array waveguide grating (AWG) based on a silicon dioxide planar optical circuit for Fiber Bragg Grating (FBG) interrogation and couples the prepared AWG with a photodetector array using hybrid integration technology. The test results indicate that the AWG has a good transmission spectrum， a 3-dB bandwidth of 2.15 nm， an insertion loss of approximately 3.6-4.2 dB， and crosstalk of less than -30 dB. The FBG interrogation system can achieve continuous demodulation in the dynamic range of 1521-1569 nm， and realize continuous demodulation in the C-band with a wavelength resolution of 1 pm and a demodulation accuracy of 5.8 pm. This demodulation method provides an optimization direction for researching fiber Bragg grating interrogation systems based on array waveguide gratings.

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