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Advancing large-scale thin-film PPLN nonlinear photonics with segmented tunable micro-heaters

Photonics Research 2024年第8期12卷 1703-1708页

作者： XIAOTING li HAOCHUAN li ZHENZHENG wanG ZHAOXI CHEN FEI ma KE ZHANG WENZHAO SUN CHENG wanG Department of Electrical Engineering City University of Hong KongHong KongChina School of Physics Sun Yat-sen UniversityGuangzhou 510275China City University of Hong Kong(Dongguan) Dongguan 523808China Center of Information and Communication Technology City University of Hong Kong Shenzhen Research InstituteShenzhen 518057China State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongHong KongChina

Thin-film periodically poled lithium niobate(TF-PPLN)devices have recently gained prominence for efficient wavelength conversion processes in both classical and quantum ***,the patterning and poling of TF-PPLN devices today are mostly performed at chip scales,presenting a significant bottleneck for future largescale nonlinear photonic systems that require the integration of multiple nonlinear components with consistent performance and low ***,we take a pivotal step towards this goal by developing a wafer-scale TF-PPLN nonlinear photonic platform,leveraging ultraviolet stepper lithography and an automated poling *** address the inhomogeneous broadening of the quasi-phase matching(QPM)spectrum induced by film thickness variations across the wafer,we propose and demonstrate segmented thermal optic tuning modules that can precisely adjust and align the QPM peak wavelengths in each *** the segmented micro-heaters,we show the successful realignment of inhomogeneously broadened multi-peak QPM spectra with up to 57%enhancement of conversion *** achieve a high normalized conversion efficiency of 3802%W-1cm-2in a 6 mm long PPLN waveguide,recovering 84%of the theoretically predicted efficiency in this *** advanced fabrication techniques and segmented tuning architectures presented herein pave the way for wafer-scale integration of complex functional nonlinear photonic circuits with applications in quantum information processing,precision sensing and metrology,and low-noise-figure optical signal amplification.

关键词： tuning tunable waveguide

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Entangled photon pair generation in an integrated SiC platform

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light(Science & Applications) 2024年第6期13卷 1041-1046页

作者： Anouar Rahmouni Ruixuan wang Jingwei li Xiao Tang Thomas Gerrits Oliver Slattery Qing li lijun ma National Institute of Standards and Technology 100 Bureau DrGaithersburgMD20899USA Department of Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA15213USA

Entanglement plays a vital role in quantum information *** to its unique material properties,silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing *** date,however,only entanglement of nuclear spins has been reported in silicon carbide,while an entangled photon source,whether it is based on bulk or chip-scale technologies,has remained ***,we report the demonstration of an entangled photon source in an integrated silicon carbide platform for the first ***,strongly correlated photon pairs are efficiently generated at the telecom C-band wavelength through implementing spontaneous four-wave mixing in a compact microring resonator in the 4H-silicon-carbide-on-insulator *** maximum coincidence-to-accidental ratio exceeds 600 at a pump power of 0.17 mW,corresponding to a pair generation rate of(9±1)×10^(3) pairs/***-time entanglement is created and verified for such signal-idler photon pairs,with the two-photon interference fringes exhibiting a visibility larger than 99%.The heralded single-photon properties are also measured,with the heralded g^((2))(0)on the order of 10^(−3),demonstrating the SiC platform as a prospective fully integrated,complementary metal-oxide-semiconductor compatible single-photon source for quantum applications.

关键词： quantum coincidence mixing

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Developing an atmospheric aging evaluation model of acrylic coatings:A semi-supervised machine learning algorithm

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International Journal of Minerals,Metallurgy and materials 2024年第7期31卷 1617-1627页

作者： Yiran li Zhongheng Fu Xiangyang Yu Zhihui Jin Haiyan Gong lingwei ma Xiaogang li Dawei Zhang Beijing Advanced Innovation Center for materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China BRI Southeast Asia Network for Corrosion and Protection(MOE) Shunde Innovation School of University of Science and Technology BeijingFoshan 528399China

To study the atmospheric aging of acrylic coatings,a two-year aging exposure experiment was conducted in 13 representative climatic environments in *** atmospheric aging evaluation model of acrylic coatings was developed based on aging data including11 environmental factors from 567 cities.A hybrid method of random forest and Spearman correlation analysis was used to reduce the redundancy and multicollinearity of the data set by dimensionality reduction.A semi-supervised collaborative trained regression model was developed with the environmental factors as input and the low-frequency impedance modulus values of the electrochemical impedance spectra of acrylic coatings in 3.5wt%NaCl solution as *** model improves accuracy compared to supervised learning algorithms model(support vector machines model).The model provides a new method for the rapid evaluation of the aging performance of acrylic coatings,and may also serve as a reference to evaluate the aging performance of other organic coatings.

关键词： acrylic coatings coatings aging atmospheric environment machine learning

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Fake News Detection Based on Text-Modal Dominance and Fusing Multiple Multi-Model Clues

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Computers, materials & Continua 2024年第3期78卷 4399-4416页

作者： li fang Fu Huanxin Peng Changjin ma Yuhan liu College of Arts and Sciences Northeast Agricultural UniversityHarbin150030China College of Engineering Northeast Agricultural UniversityHarbin150030China

In recent years,how to efficiently and accurately identify multi-model fake news has become more ***,multi-model data provides more evidence but not all are equally ***,social structure information has proven to be effective in fake news detection and how to combine it while reducing the noise information is ***,existing approaches fail to handle these *** paper proposes a multi-model fake news detection framework based on Tex-modal Dominance and fusing Multiple Multi-model Cues(TD-MMC),which utilizes three valuable multi-model clues:text-model importance,text-image complementary,and text-image ***-MMC is dominated by textural content and assisted by image information while using social network information to enhance text *** reduce the irrelevant social structure’s information interference,we use a unidirectional cross-modal attention mechanism to selectively learn the social structure’s features.A cross-modal attention mechanism is adopted to obtain text-image cross-modal features while retaining textual features to reduce the loss of important *** addition,TD-MMC employs a new multi-model loss to improve the model’s generalization *** experiments have been conducted on two public real-world English and Chinese datasets,and the results show that our proposed model outperforms the state-of-the-art methods on classification evaluation metrics.

关键词： Fake news detection cross-modal attention mechanism multi-modal fusion social network transfer learning

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Effect of two-step solid solution on microstructure andδphase precipitation of Inconel 718 alloy

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International Journal of Minerals,Metallurgy and materials 2024年第10期31卷 2199-2207页

作者： Enyu liu Qingshuang ma Xintong li Aoxue Gao Jing Bai liming Yu Qiuzhi Gao Huijun li School of materials Science and Engineering Northeastern UniversityShenyang 110819China School of Resources and materials Northeastern University at QinhuangdaoQinhuangdao 066004China School of materials Science&Engineering Tianjin UniversityTianjin 300354China School of Mechanical Materials and Mechatronic EngineeringUniversity of WollongongWollongongNSW 2522Australia

Inconel 718 is the most popular nickel-based superalloy and is extensively used in aerospace,automotive,and energy indus-tries owing to its extraordinary thermomechanical *** effects of different two-step solid solution treatments on microstructure andδphase precipitation of Inconel 718 alloy were studied,and the transformation mechanism fromγ″metastable phase toδphase was *** precipitates were statistically analyzed by X-ray *** results show that theδphase content firstly increased,and then decreased with the temperature of the second-step solid *** changes in microstructure andδphase were studied by scanning electron microscopy and transmission electron *** intragranularδphase formed in Inconel 718 alloy at the second-[100]_(δ)[011]γ step solid solution temperature of 925℃,and its orientation relationship withγmatrix was determined as//and(010)_(δ)//(111)γ.Furthermore,the Vickers hardness of different heat treatment samples was measured,and the sample treated by second-step solid solution at 1010℃ reached the maximum hardness of HV 446.84.

关键词： Inconel 718 alloy two-step solid solution treatment δphase γ″-δtransformation

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The on-chip thermoelectric cooler:advances,applications and challenges

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Chip 2024年第2期3卷 96-108页

作者： Chengjun li Yubo Luo wang li Boyu Yang Chengwei Sun Wenyuan ma Zheng ma Yingchao Wei Xin li Junyou Yang State Key Laboratory of materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

With the development of 5G technology and increasing chip integration,traditional active cooling methods struggle to meet the growing thermal demands of *** coolers(TECs)have garnered great attention due to their rapid response,significant cooling differentials,strong compatibility,high stability and controllable device *** this review,starting from the fundamental principles of thermoelectric cooling and device design,high-performance thermoelectric cooling materials are summarized,and the progress of advanced on-chip TECs is comprehensively ***,the paper outlines the challenges and opportunities in TEC design,performance and applications,laying great emphasis on the critical role of thermoelectric cooling in addressing the evolving thermal management requirements in the era of emerging chip technologies.

关键词： Chip Thermal management Thermoelectric materials Thermoelectric cooler Cooling performance

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Understanding the combustion behavior of electric bicycle batteries and unveiling its relationship with fire extinguishing

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Journal of Energy Chemistry 2024年第4期91卷 609-618页

作者： Zhanglong Yu Xueling Shen Ran Xu Zheng wang Zengming wan Mingyang Chen Yi Cui Yanyan Fang Xiaoli ma China Automotive Battery Research Institute Co. Ltd.Beijing 101407China China Grinm Group Co. Ltd.Beijing 100088China Ministry of Industry and Information Technology Equipment Industry Development CenterBeijing 100846China Hefei Guoxuan High-tech Power energy Co. Ltd.Hefei 230000AnhuiChina

In this study,a detailed analysis of the combustion behaviors of the lithium iron phosphate(LFP)and lithium manganese oxide(LMO)batteries used in electric bicycles was *** research included quantitative measurements of the combustion duration,flame height,combustion temperature,heat release rate,and total heat *** results indicated that LMO batteries exhibited higher combustion temperatures of 600–700°C,flame heights of 70–75 cm,a significantly higher heat release rate of40.1 k W(12 Ah),and a total heat release of 1.04 MJ(12 Ah)compared to LFP batteries with the same *** on these experimental results,a normalized total heat release(NORTHR)parameter was proposed,demonstrating good universality for batteries with different *** this parameter,quantitative calculations and optimization of the extinguishing agent dosage were conducted for fires involving these two types of batteries,and the method was validated by extinguishing fires for these two types of battery packs with water-based extinguishing fluids.

关键词： Combustion behavior Electric bicycle lithium-ion battery Fire extinguishing Normalized total heat release

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Water-Driven malleable,Weldable and Eco-Friendly Recyclable Carbon Fiber Reinforced Dynamic Composites

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Chinese Journal of Chemistry 2024年第5期42卷 516-522页

作者： Ping Yu Qirui Huang Yi wang wan Peng Zichen Jia Haiyue wang Juanjuan ma Chunyu wang Xuzhou Yan School of Environmental and Chemical Engineering Jiangsu Key Laboratory of Function Control Technology for Advanced MaterialsJiangsu Ocean UniversityLianyungangJiangsu222005 China School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai200240 China

Traditional carbon fiber-reinforced polymers based on thermoset matrix have been extensively used in the fields of wind turbine blades,automotive sector,and aerospace,among many ***,there is still a major challenge of recycling those polymers due to the high cost and adverse impacts on the *** this work,we apply a polyimine network as matrix,which possess considerable tensile and thermal properties,to prepare the carbon fiber reinforced polyimine materials with trifluoromethyl diphenoxybenzene units(CFRFP)using a prepreg-based compression molding *** CFRFP can be reshaped or reprocessed by heat or with water rapidly,and exhibited multifunction,including welding,chemical recycling,*** unique findings gained from our study will facilitate the manufacturing capability and enrich the types of fiber-reinforced composites.

关键词： Dynamic chemistry Green chemistry Fiber-reinforced composites Fluoropolyimine Welding Reshaping Recycling Renewable resources

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Gravity Wave Activity and Stratosphere-Troposphere Exchange During Typhoon Molave(2020)

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Journal of Tropical Meteorology 2024年第3期30卷 306-326页

作者： HUANG Dong wan ling-feng wan Yi-shun CHANG Shu-jie ma Xin ZHAO Kai-jing College of Ocean and Meteorology/South China Sea Institute of marine Meteorology/Laboratory for Coastal Ocean Variation and Disaster Prediction/Key Laboratory of Climate Resources and Environment in Continental Shelf Sea and Deep Sea(LCRE)/Key Laboratory of Space Ocean Remote Sensing and ApplicationMinistry of Natural ResourcesGuangdong Ocean UniversityZhanjiangGuangdong 524088 China Frontier Science Center for Deep Ocean Multispheres and Earth System(DOMES) Institute for Advanced Ocean Study(IAOS)Ocean University of ChinaQingdaoShandong 266100 China School of Earth and Environment University of LeedsLeeds LS29JT UK Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030 China

To investigate the stratosphere-troposphere exchange(STE)process induced by the gravity waves(GWs)caused by Typhoon Molave(2020)in the upper troposphere and lower stratosphere,we analyzed the ERA5 reanalysis data provided by the European Centre for Medium-Range Weather Forecasts and the Cma Tropical Cyclone Best Track *** also adopted the mesoscale forecast model Weather Research and Forecasting model V4.3 for numerical *** of the previous studies were about typhoon-induced STE and typhoon-induced GWs,while our research focused on the STE caused by typhoon-induced gravity *** analysis shows that most of the time,the gravity wave signal of Typhoon Molave appeared below the *** was stronger on the east side of the typhoon center(10°-20°N,110°-120°E)than on the west side,suggesting an eastward tilted structure with height *** the GWs in the upper troposphere and lower stratosphere region on the west side of the typhoon center broke up,it produced strong turbulence,resulting in stratosphere-troposphere *** this time,the average potential vorticity vertical flux increased with the average ozone mass mixing *** gravity wave events and STE process simulated by the WRF model were basically consistent with the results of ERA5 reanalysis data,but the time of gravity wave breaking was *** study indicates that after the breaking of the GWs induced by typhoons,turbulent mixing will also be generated,and thus the STE.

关键词： gravity wave typhoon stratosphere-troposphere exchange STE upper troposphere and lower stratosphere UTLS

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Variational Neural Inference Enhanced Text Semantic Communication System

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China Communications 2024年第7期21卷 50-64页

作者： Zhang Xi Zhang Yiqian li Congduan ma Xiao School of Electronics and Communication Engineering Sun Yat-Sen UniversityShenzhen 518107China Guizhou University State Key Laboratory of Public Big Data Guiyang 550025China Shenzhen Key Laboratory of Navigation and Communication Integration Shenzhen 518107China School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510006China

Recently,deep learning-based semantic communication has garnered widespread attention,with numerous systems designed for transmitting diverse data sources,including text,image,and speech,*** efforts have been directed toward improving system performance,many studies have concentrated on enhancing the structure of the encoder and ***,this often overlooks the resulting increase in model complexity,imposing additional storage and computational burdens on smart ***,existing work tends to prioritize explicit semantics,neglecting the potential of implicit *** paper aims to easily and effectively enhance the receiver's decoding capability without modifying the encoder and decoder *** propose a novel semantic communication system with variational neural inference for text ***,we introduce a simple but effective variational neural inferer at the receiver to infer the latent semantic information within the received *** information is then utilized to assist in the decoding *** simulation results show a significant enhancement in system performance and improved robustness.

关键词： deep learning semantic communication variational neural inference

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