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arXiv 2024年

作者： Zhou, Chuang Li, Yang Ma, Li Yang, Jie Huang, Wei Sun, Ao Wang, Heng Luo, Yujie Li, Yong Chen, Ziyang Lau, Francis C.M. Zhang, Yichen Yu, Song Guo, Hong Xu, Bingjie National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu610041 China College of Computer Science Chongqing University Chongqing400044 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Peking University Beijing100871 China Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous variable quantum key distribution (CV-QKD). To solve this long-standing problem, a novel two-stage error correction method with limited precision that is suitable for integration given limited on-chip hardware resource while maintaining excellent decoding performance is proposed, and experimentally verified on a commercial FPGA. Compared to state-of-art results, the error-correction throughput can be improved more than one order of magnitude given FER © 2024, CC BY.

关键词： Error correction

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Two-dimensional materials for future information technology: status and prospects

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Science China(information Sciences) 2024年第6期67卷 1-147页

作者： Hao QIU Zhihao YU Tiange ZHAO Qi ZHANG Mingsheng XU Peifeng LI Taotao LI Wenzhong BAO Yang CHAI Shula CHEN Yiqi CHEN Hui-Ming CHENG Daoxin DAI Zengfeng DI Zhuo DONG Xidong DUAN Yuhan FENG Yu FU Jingshu GUO Pengwen GUO Yue HAO Jun HE Xiao HE Jingyi HU Weida HU Zehua HU Xinyue HUANG Ziyang HUANG Ali IMRAN Ziqiang KONG Jia LI Qian LI Weisheng LI Lei LIAO Bilu LIU Can LIU Chunsen LIU Guanyu LIU Kaihui LIU Liwei LIU Sheng LIU Yuan LIU Donglin LU Likuan MA Feng MIAO Zhenhua NI Jing NING Anlian PAN Tian-Ling REN Haowen SHU Litao SUN Yue SUN Quanyang TAO Zi-Ao TIAN Dong WANG Hao WANG Haomin WANG Jialong WANG Junyong WANG Wenhui WANG Xingjun WANG Yeliang WANG Yuwei WANG Zhenyu WANG Yao WE... Department of Applied Physics The Hong Kong Polytechnic University Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and EngineeringHunan University College of Integrated Circuits Zhejiang University Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute & Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua University State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZijingang CampusZhejiang University National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences CAS Key Laboratory of Nanophotonic Materials and Devices & Key Laboratory of Nanodevices and Applications i-LabSuzhou Institute of Nano-Tech and Nano-Bionics (SINANO)Chinese Academy of Sciences College of Chemistry and Chemical Engineering Hunan University Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) Department of PhysicsRenmin University of China School of Integrated Circuits Beijing National Research Center for Information Science and Technology (BNRist)Tsinghua University School of Electronic Science and Engineering Nanjing University The State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology Shaanxi Joint Key Laboratory of GrapheneSchool of MicroelectronicsXidian University Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education School of Physics and TechnologyWuhan University School of Integrated Circuits Huazhong University of Science and Technology Center for Nanochemistry (CNC) Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking University State Key Laboratory for Artificial Microstruct

Over the past 70 years, the semiconductor industry has undergone transformative changes,largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensional(2D) materials like transition metal dichalcogenides(TMDs) and graphene are pivotal in overcoming the limitations of silicon-based technologies, offering innovative approaches in transistor design and functionality, enabling atomic-thin channel transistors and monolithic 3D integration. We review the important progress in the application of 2D materials in future information technology, focusing in particular on microelectronics and optoelectronics. We comprehensively summarize the key advancements across material production, characterization metrology, electronic devices, optoelectronic devices, and heterogeneous integration on silicon. A strategic roadmap and key challenges for the transition of 2D materials from basic research to industrial development are outlined. To facilitate such a transition, key technologies and tools dedicated to 2D materials must be developed to meet industrial standards, and the employment of AI in material growth, characterizations, and circuit design will be essential. It is time for academia to actively engage with industry to drive the next 10 years of 2D material research.

关键词： two-dimensional (2D) materials information technology production technology standardization of characterization microelectronic devices optoelectronic devices multi-functional integration

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Attention-effective multiple instance learning on weakly stem cell colony segmentation

arXiv

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arXiv 2022年

作者： Yudistira, Novanto Kavitha, Muthu Subash Rajan, Jeny Kurita, Takio Intelligent System Lab Faculty of Computer Science Brawijaya University Indonesia School of Information and Data Sciences Nagasaki University Nagasaki Japan Department of Computer Science and Engineering National Institute of Technology Karnataka Surathkal India Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan

The detection of induced pluripotent stem cell (iPSC) colonies often needs the precise extraction of the colony features. However, existing computerized systems relied on segmentation of contours by preprocessing for classifying the colony conditions were task-extensive. To maximize the efficiency in categorizing colony conditions, we propose a multiple instance learning (MIL) in weakly supervised settings. It is designed in a single model to produce weak segmentation and classification of colonies without using finely labeled samples. As a single model, we employ a U-net-like convolution neural network (CNN) to train on binary image-level labels for MIL colonies classification. Furthermore, to specify the object of interest we used a simple post-processing method. The proposed approach is compared over conventional methods using five-fold cross-validation and receiver operating characteristic (ROC) curve. The maximum accuracy of the MIL-net is 95%, which is 15% higher than the conventional methods. Furthermore, the ability to interpret the location of the iPSC colonies based on the image level label without using a pixel-wise ground truth image is more appealing and cost-effective in colony condition recognition. © 2022, CC BY.

关键词： Learning systems

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Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning

arXiv

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arXiv 2024年

作者： Zhu, Hongze Xie, Guoyang Hou, Chengbin Dai, Tao Gao, Can Wang, Jinbao Shen, Linlin National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong Department of Intelligent Manufacturing CATL Ningde China Fuzhou Fuyao Institute for Advanced Study Fuyao University of Science and Technology Fuzhou China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen China Shenzhen University Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China

High-resolution point clouds (HRPCD) anomaly detection (AD) plays a critical role in precision machining and high-end equipment manufacturing. Despite considerable 3D-AD methods that have been proposed recently, they still cannot meet the requirements of the HRPCD-AD task. There are several challenges: i) It is difficult to directly capture HRPCD information due to large amounts of points at the sample level;ii) The advanced transformer-based methods usually obtain anisotropic features, leading to degradation of the representation;iii) The proportion of abnormal areas is very small, which makes it difficult to characterize. To address these challenges, we propose a novel group-level feature-based network, called Group3AD, which has a significantly efficient representation ability. First, we design an Intercluster Uniformity Network (IUN) to present the mapping of different groups in the feature space as several clusters, and obtain a more uniform distribution between clusters representing different parts of the point clouds in the feature space. Then, an Intracluster Alignment Network (IAN) is designed to encourage groups within the cluster to be distributed tightly in the feature space. In addition, we propose an Adaptive Group-Center Selection (AGCS) based on geometric information to improve the pixel density of potential anomalous regions during inference. The experimental results verify the effectiveness of our proposed Group3AD, which surpasses Reg3D-AD by the margin of 5% in terms of object-level AUROC on Real3DAD. We provide the code and supplementary information on our website: https://***/M-3LAB/Group3AD. Copyright © 2024, The Authors. All rights reserved.

关键词： Anomaly detection

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Γ-Mno2-Deposited Photonic Crystal Fiber: Novel Photonic Devices for Multi-State Solitons Generation

SSRN

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SSRN 2022年

作者： Chen, Enci Lu, Ping Li, Xiaohui Huang, Xiangzhen Han, Yueheng Liu, Deming Zhang, Jiangshan National Engineering Research Center for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China School of Electronic Engineering Guangxi University of Science and Technology Liuzhou545006 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518063 China Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan430074 China

Transition metal oxides, especially MnO 2 nanoparticles, are often used as cathode of dry batteries and catalysts. They are also promising materials for ultrafast laser applications due to their strong absorption in visible light and near-infrared wavelength range. In this work, high-concentration MnO 2 nanoparticles dispersions embedded in the hole cladding of dual-hole photonic crystal fiber (DHPCF) is fabricated as a saturable absorber (SA) with a modulation depth of 4% and a saturation intensity of 25 MW/cm 2 . Strong MnO 2 -light interaction occurs due to enhanced evanescent-field strength (over 10 cm) of the SA could enable stable mode locking operation at 1.55 μm region. Depending on a Sagnac fiber filter, conventional solitons (CSs), switchable noise-like pulses (NLPs), soliton molecules and dip-type sidebands solitons are experimentally demonstrated with identical layout, respectively. This study indicates that MnO 2 nanoparticles possess excellent nonlinear optical properties in the near-infrared band. The simple in-line structure of the proposed nanoparticles-deposited device readily allows it to be extended to other fiber-based applications, particularly nonlinear control and dispersion compensation. © 2022, The Authors. All rights reserved.

关键词： Saturable absorbers

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A Scanner Matching Method based on Interior-point BFGS Algorithm 5

A Scanner Matching Method based on Interior-point BFGS Algor...

引用

5th International Workshop on advanced Patterning Solutions, IWAPS 2021

作者： Chen, Yuguang Li, Sikun He, Jianfang Zhang, Libin Shi, Weijie Tang, Ming Wei, Yayi Wang, Xiangzhao Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Science Laboratory of Information Optics and Opto-Electronic Technology Shanghai China School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing China Integrated Circuit Advanced Process RD Center Institute of Microelectronics Chinese Academy of Sciences Beijing China Dongfang Jingyuan Electron Limited Beijing China National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Wuhan China

ISBN: (纸本)9781665420785

A scanner matching method based on interior-point BFGS algorithm is proposed. This method minimizes the critical dimension (CD) differences by optimizing parameters of illumination sources, including inner partial coherence factor, outer partial coherence factor, numerical aperture and opening angle of illumination poles for dipole and quadrupole sources. Simulations of scanner matching are performed. Scanners with annular, dipole and quadrupole sources are matched in the simulations. Through-pitch Line/space patterns are used as the matching targets. The results of these simulations show that, the proposed method can reduce root-mean-square of CD differences after matching. In the majority of the simulation cases, the proposed method is faster than methods based on the Levenberg-Marquardt algorithm, and could even achieve better result. Analyses on the proposed method are given. © 2021 IEEE.

关键词： Photolithography

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Straightforward and Effective Surface Treatment of Silicon-Carbon Composite Anode Materials for Lithium Ion Battery

SSRN

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SSRN 2023年

作者： Kim, Yong Su Chang, Wonseok Kim, Kihong Baek, Woon Joong Heo, Sung Yun, Dong-Jin Park, Jucheol Jung, Heechul Kim, Seong Heon Battery Material TU Samsung Advanced Institute of Technology 130 Samsung-ro Yeongtong-gu Suwon16678 Korea Republic of Thin Film TU Samsung Advanced Institute of Technology 130 Samsung-ro Yeongtong-gu Suwon16678 Korea Republic of Material Research Center Samsung Advanced Institute of Technology 130 Samsung-ro Yeongtong-gu Suwon16678 Korea Republic of Business Support Department Gumi Electronics & Information Technology Research Institute Gumi39171 Korea Republic of Department of Energy and Mineral Resources Engineering Dong-A University Busan49315 Korea Republic of Department of Physics Research Institute of Physics and Chemistry Jeonbuk National University Jeonju54896 Korea Republic of

To apply and utilize high-performance batteries in actual devices, achieving stable cycle operation during the charging and discharging process is the main key. In particular, keeping the stability of anodes without performance degradation as Li inserts and extracts is critical. Here, we report a straightforward and effective method for forming the stable Li ionic conductive layers in silicon-carbon composite anode, which can be practically applicable for anode production. Stable layers of lithium metasilicate, known as a good Li ionic conductor, were successfully fabricated on Si nanoparticles within silicon-carbon composite by simply mixing lithium oxide nanoparticles with a coar tar pitch carbon source during high-temperature carbonization process of the composite particles. From electrochemical measurements applied to various types of cell manufactured by conventional production process, a cell with selectively coated anodes and conventional LiNixMnyCozO2 cathode show a significantly higher performance stability and an excellent fast charging characteristics. This study presents a straightforward and effective method to increase the stability of silicon-carbon composite anode materials at low cost for commercial production of high-performance lithium ion battery. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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On the accurate characterization of quantum-dot light-emitting diodes for display applications

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npj Flexible electronics 2022年第1期6卷 351-362页

作者： Wangxiao Jin Yunzhou Deng Bingbing Guo Yaxiao Lian Baodan Zhao Dawei Di Xiaowei Sun Kai Wang Shuming Chen Yixing Yang Weiran Cao Song Chen Wenyu Ji Xuyong Yang Yuan Gao Shuangpeng Wang Huaibin Shen Jialong Zhao Lei Qian Fushan Li Yizheng Jin Key Laboratory of Excited-State Materials of Zhejiang Province State Key Laboratory of Silicon MaterialsDepartment of ChemistryZhejiang University310027 HangzhouChina State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZhejiang University310027 HangzhouChina Department of Electronic and Electrical Engineering Southern University of Science and Technology518055 ShenzhenChina TCL Research ShenzhenGuangdongChina Shenzhen China Star Optoelectronics Semiconductor Display Technology Co. LtdShenzhenGuangdongChina College of Chemistry Chemical Engineering and Materials ScienceSoochow University199 Ren’ai Rd215123 SuzhouJiangsuChina Key Lab of Physics and Technology for Advanced Batteries(Ministry of Education) College of PhysicsJilin University130023 ChangchunChina Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai University149 Yanchang RoadShanghai 200072China Najing Technology Corporation Ltd Hangzhou 310052China Institute of Applied Physics and Materials Engineering University of MacaoTaipaMacaoSAR 999078China Key Laboratory for Special Functional Materials of Ministry of Education National&Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technologyand Collaborative Innovation Center of Nano Functional Materials and ApplicationsHenan UniversityKaifeng 475004China School of Physical Science and Technology MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and MaterialsGuangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsGuangxi UniversityNanning 530004China Division of Functional Materials and Nanodevices Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China College of Physics and Information Engineering Fuzhou UniversityFuzhou 350108China

Quantum dot light-emitting diodes(QLEDs)are a class of high-performance solution-processed electroluminescent(EL)devices highly attractive for next-generation display *** the encouraging advances in the mechanism investigation,material chemistry,and device engineering of QLEDs,the lack of standard protocols for the characterization of QLEDs may cause inaccurate measurements of device parameters and invalid comparison of different ***,we report a comprehensive study on the characterizations of QLEDs using various *** show that the emission non-uniformity across the active area,nonLambertian angular distributions of EL intensity,and discrepancies in the adopted spectral luminous efficiency functions could introduce significant errors in the device *** errors in the operational-lifetime measurements may arise from the inaccurate determination of the initial luminance and inconsistent methods for analyzing the luminance-decay ***,we suggest a set of recommended practices and a checklist for device characterizations,aiming to help the researchers in the QLED field to achieve accurate and reliable measurements.

关键词： diodes characterization luminous

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Structure engineering in Biomass-Derived Carbon Materials for Electrochemical Energy Storage

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Research 2020年第1期2020卷 1549-1575页

作者： Ruizi Li Yanping Zhou Wenbin Li Jixin Zhu Wei Huang Frontiers Science Center for Flexible Electronics(FSCFE) Shaanxi Institute of Flexible Electronics(SIFE)&Shaanxi Institute of Biomedical Materials and Engineering(SIBME)Northwestern Polytechnical University(NPU)127 West Youyi RoadXi’an 710072China College of Electronics and Information Engineering Sichuan UniversityNo.24 South Section 1Yihuan RoadChengdu 610064China Institute of Advanced Electrochemical Energy&School of Materials Science and Engineering Xi’an University of TechnologyXi’anShaanxi 710048China Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing Tech University(NanjingTech)30 South Puzhu RoadNanjing 211816China

Biomass-derived carbon materials(B-d-CMs)are considered as a group of very promising electrode materials for electrochemical energy storage(EES)by virtue of their naturally diverse and intricate microarchitectures,extensive and low-cost source,environmental friendliness,and feasibility to be produced in a large ***,the practical application of raw B-d-CMs in EES is limited by their relatively rare storage sites and low diffusion *** recent years,various strategies from structural design to material composite manipulation have been explored to overcome these *** this review,a controllable design of B-d-CM structures boosting their storage sites and diffusion kinetics for EES devices including SIBs,Li-S batteries,and supercapacitors is systematically summarized from the aspects of effects of pseudographic structure,hierarchical pore structure,surface functional groups,and heteroatom doping of B-d-CMs,as well as the composite structure of B-d-CMs,aiming to provide guidance for further rational design of the B-d-CMs for high-performance EES ***,the contemporary challenges and perspectives on B-d-CMs and their composites are also proposed for further practical application of B-d-CMs for EES devices.

关键词： composite composites diffusion

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Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

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Plant Communications 2022年第6期3卷 135-173页

作者： Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesNational Engineering and Technology Center for Information AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityAddress:No.1 WeigangXuanwu DistrictNanjing 210095China The Key Laboratory of Oasis Eco-agriculture Xinjiang Production and Construction CorpsAgriculture CollegeShihezi UniversityShihezi 832003China Hainan Yazhou Bay Seed Laboratory Sanya 572025China State Key Laboratory of Crop Genetics and Germplasm Enhancement National Center for Soybean ImprovementKey Laboratory for Biology and Genetic Improvement of Soybean(GeneralMinistry of Agriculture)Nanjing Agricultural UniversityNanjing 210095China Sanya Research Institute of Nanjing Agriculture University Sanya 572024China Key Laboratory of Plant Molecular Physiology Institute of BotanyChinese Academy of SciencesBeijing 100093China Institute of Ecology College of Urban and Environmental SciencePeking UniversityBeijing 100871China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System SciencesNanjing UniversityNanjingJiangsu 210023China

Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise ***-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of *** and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and *** progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 *** progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and ***,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association ***,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.

关键词： plant phenomics remote sensing phenotyping phenotypic traits multi-omics breeding precision cultivation

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