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SSRN 2024年

作者： Li, Jianpeng Li, Xiaogan Li, Haidong Wu, Shuai Yang, Ziqin Zhang, Junhui Wang, Li Ye, Yang Ao, Sansan To, Suet Jiang, Guangze Liu, Tao Li, Lu Li, Hangxu Qiu, Feng Huang, Shichun Wu, Andong Tan, Teng Wang, Zhijun Zhang, Shenghu He, Yuan School of Microelectronics Dalian University of Technology Dalian116000 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China Advanced Energy Science and Technology Guangdong Laboratory Huizhou516007 China School of Physics science and Technology Wuhan University Wuhan430000 China School of Materials Science and Engineering Tianjin University Tianjin300072 China State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen China

The primary objective of this study is the development of Cu/Nb composite materials for Superconducting Radio-Frequency (SRF) applications under extreme service conditions characterized by a strong RF electromagnetic field, extremely low temperatures, and relatively low heat loss. A novel integrated manufacturing approach is proposed, which combines cold-sprayed AgCuTi alloy as an intermediate coating on the Nb surface and an electroplated Cu layer with a subsequent heat treatment brazing effect. This strategy aims to address the significant challenge of non-intermelting Cu and Nb while also considering effective lateral heat transfer. Advanced characterization techniques and theoretical analyses are employed to investigate the microstructures, mechanical properties, and thermal properties. Morphological and elemental analyses of the composite interface demonstrate a robust bonding interface between the AgCuTi coating and Nb, revealing distinct mutual diffusion at the AgCuTi/Cu interface. This results in a bonding strength exceeding 150 MPa for the Nb/AgCuTi/Cu composites. Low-temperature thermal transport tests indicate that the Residual Resistance Ratio (RRR) of the Cu layer surpasses 150, with a thermal conductivity at 4.2 K exceeding 1600 W/(m·K). Moreover, both the composite interface and mechanical properties of the specimens remain stable even after undergoing cyclic cold shock experiments. These findings suggest that the Nb/AgCuTi/Cu composite material developed in this study meets the technical requirements for long-term stable and high-performance operation in high-current and high-power superconducting accelerators. © 2024, The Authors. All rights reserved.

关键词： Temperature

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Topologically Protected Entanglement Emitters

Topologically Protected Entanglement Emitters

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Tianxiang Dai Yutian Ao Jueming Bao Jun Mao Yulin Chi Zhaorong Fu Yiling You Xiaojiong Chen Chonghao Zhai Bo Tang Yan Yang Zhihua Li Luqi Yuan Fei Gao Xiao Lin Mark G. Thompson Jeremy L. O'Brien Yan Li Xiaoyong Hu Qihuang Gong Jianwei Wang State Key Laboratory for Mesoscopic Physics School of Physics Peking University Beijing China Institute of Microelectronics Chinese Academy of Sciences Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Science and Technology Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Department of Electrical and Electronic Engineering Quantum Engineering Technology Labs H. H. Wills Physics Laboratory University of Bristol Bristol UK Department of Physics The University of Western Australia Perth Western Australia Australia

We report topologically-protected entanglement emitters, that emit topological Einstein-Podolsky-Rosen state and multiphoton entangled state from a plug-and-play silicon-photonic chip emulating a photonic anomalous Fl...

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In-memory search with learning to hash based on resistive memory for recommendation acceleration

npj Unconventional Computing

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npj Unconventional Computing 2024年第1期1卷 1-9页

作者： Fei Wang Woyu Zhang Zhi Li Rui Bao Xiaoxin Xu Chunmeng Dou Dashan Shang Ning Lin Zhongrui Wang Key Lab of Fabrication Technologies for Integrated Circuits Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 China Key Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 China University of Chinese Academy of Sciences Beijing 100049 China Department of Electrical and Engineering the University of Hong Kong Hong Kong China ACCESS - AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong China School of Microelectronics Southern University of Science and Technology Shenzhen 518055 China

Similarity search is essential in current artificial intelligence applications and widely utilized in various fields, such as recommender systems. However, the exponential growth of data poses significant challenges in search time and energy consumption on traditional digital hardware. Here, we propose a software-hardware co-optimization to address these challenges. On the software side, we employ a learning-to-hash method for vector encoding and achieve an approximate nearest neighbor search by calculating Hamming distance, thereby reducing computational complexity. On the hardware side, we leverage the resistance random-access memory crossbar array to implement the hash encoding process and the content-addressable memory with an in-memory computing paradigm to lower the energy consumption during searches. Simulations on the MovieLens dataset demonstrate that the implementation achieves comparable accuracy to software and reduces energy consumption by 30-fold compared to traditional digital systems. These results provide insight into the development of energy-efficient in-memory search systems for edge computing.

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Studying of a sensitive material based on Ecoflex and CNTs for flexible strain sensors 8

Studying of a sensitive material based on Ecoflex and CNTs f...

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8th International School and Conference "Saint Petersburg OPEN 2021" on Optoelectronics, Photonics, engineering and Nanostructures, SPbOPEN 2021

作者： Demidenko, N.A. Kuksin, A.V. Davydova, E.S. Zaborova, V.A. Ichkitidze, L.P. Bordovsky, S.P. Gerasimenko, A.Y. Institute of biomedical systems National Research University of Electronic Technology Shokin Square 1 Zelenograd Moscow Russia Department of Sports Medicine and Medical Rehabilitation I.M. Sechenov First Moscow State Medical University Bolshaya Pirogovskaya street 2-4 Moscow Russia Institutskiy per. 9 Moscow Russia Institute for Bionic Technologies and Engineering I.M. Sechenov First Moscow State Medical University Bolshaya Pirogovskaya street 2-4 Moscow Russia Institute of Nanotechnology of Microelectronics of the Russian Academy of Sciences Leninsky Prospekt 32A Moscow Russia

Nowadays there is a great need for the development of flexible strain sensors that can register human body's movements. In the field of wearable and smart electronics such sensors are actively being developed. Resistive-type flexible sensors are the easiest to manufacture. Their mechanism of sensitivity to deformations is based on a change in electrical resistance during deformations. In this work, we have developed the functional material for strain sensor with high tensile properties, strength and electrical conductivity. This material based on a matrix of silicone elastomer and a multi-walled carbon nanotubes (MCNTs) filler. The material showed a high elongation of 950 % with a tensile strength of 1.437 MPa. The manufacturing process included laser structuring of MCNTs to form an electrically conductive network. The linear gauge factor was 3.4, and the angular gauge factor was 0.26. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Functional materials

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P-66: Simulation and Optimization of In-Situ Integration Ultraviolet HEMT-LED Enabled by P-GaN Selective Epitaxy Growth

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SID Symposium Digest of Technical Papers 2023年第1期54卷

作者： Jingyang Zhang Wei Huang Zhaojun Liu Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen Guangdong China 518055 A State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics & Systems School of Microelectronics Fudan University Shanghai China 200433

Based on previous work, the ultraviolet HEMT-LED we fabricated by selective epitaxy growth, this paper further performed simulation to explore the most appropriate p-GaN selection size. P-GaN grown by Selective Epitaxy Growth (SEG) can not only be employed as a junction termination to reduce the electric field crowding of the gate of HEMT, but also form an active region by contacting with 2-dimentional electron gas (2DEG). The simulation results provide an effective reference for the design of p-GaN grown by SEG, and further pave the way for the realization of the idea of integration through the selection of growth methods.

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Time-varying Algorithm for Swarm Robotics

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 217-222页

作者： Ligang Hou Fangwen Fan Jingyan Fu Jinhui Wang Laboratory of VLSI and Systems College of Microelectronics Beijing University of Technology Department of Electrical and Computer Engineering North Dakota State University

Ever since the concept of swarm intelligence was brought out, a variety of control algorithms for swarm robotics has been put forward, and many of these algorithms are stable enough and efficient. Most of the researches only take an invariable controller which functions through the whole stage into consideration, the situation in which controller changes over time is rarely taken into account. However, there are limitations for invariable controller dominated algorithms in practical situation,which makes them unable to meet changing environment. On the contrary, variable controller is more flexible and can be able to adapt to complex environment. Considering such advantages,a time-varying algorithm for swarm robotics is presented in this paper. The algorithm takes time as one of the independent variables so that the controller is no longer fixed through the time,but can be changed over time, which brings more choices for the swarm robot system. In this paper, some relevant simulations are designed to test the algorithm. Different control strategies are applied on the same flock during the time, and a more complex,flexible and practical control effect is acquired successfully.

关键词： Advanced self-organization behavior agentbased distributed control system aggregation swarm intelligence

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Corrigendum to “Epitaxial growth of wafer scale antioxidant single-crystal graphene on twinnedPt(111)” [Carbon 181 (2021) 225-233]

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Carbon 2021年 182卷 863-864页

作者： He Kang Pengtao Tang Haibo Shu Yanhui Zhang Yijian Liang Jing Li Zhiying Chen Yanping Sui Shike Hu Shuang Wang Sunwen Zhao Xuefu Zhang Chengxin Jiang Yulong Chen Zhongying Xue Miao Zhang Da Jiang Guanghui Yu Songang Peng Zhi Jin Xinyu Liu State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China College of Optical and Electronic Technology China Jiliang University 310018 Hangzhou China Microwave Devices and Integrated Circuits Department Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 China

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A review:Photonics devices,architectures,and algorithms for optical neural computing

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Journal of Semiconductors 2021年第2期42卷 64-79页

作者： Shuiying Xiang Yanan Han Ziwei Song Xingxing Guo Yahui Zhang Zhenxing Ren Suhong Wang Yuanting Ma Weiwen Zou Bowen Ma Shaofu Xu Jianji Dong Hailong Zhou Quansheng Ren Tao Deng Yan Liu Genquan Han Yue Hao State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071China State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(iMLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China School of Electronics Engineering and Computer Science Peking UniversityBeijing 100871China School of Physical Science and Technology Southwest UniversityChongqing 400715China

The explosive growth of data and information has motivated various emerging non-von Neumann computational approaches in the More-than-Moore *** neuromorphic computing has attracted lots of attention due to the fascinating advantages such as high speed,wide bandwidth,and massive ***,we offer a review on the optical neural computing in our research groups at the device and system *** photonics neuron and photonics synapse plasticity are *** addition,we introduce several optical neural computing architectures and algorithms including photonic spiking neural network,photonic convolutional neural network,photonic matrix computation,photonic reservoir computing,and photonic reinforcement ***,we summarize the major challenges faced by photonic neuromorphic computing,and propose promising solutions and perspectives.

关键词： photonics neuron photonic STDP photonic spiking neural network optical reservoir computing optical convolutional neural network neuromorphic photonics

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A 2.0-2.9 GHz Digital Ring-Based Injection-Locked Clock Multiplier Using a Self-Alignment Frequency Tracking Loop for Reference Spur Reduction

A 2.0-2.9 GHz Digital Ring-Based Injection-Locked Clock Mult...

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IEEE Symposium on Radio Frequency Integrated circuits (RFIC)

作者： Rongjin Xu Dawei Ye Liangjian Lyu C.-J. Richard Shi State Key Laboratory of ASIC and System Fudan University China Institute of Brain-inspired Circuits and Systems (iBiCAS) Fudan University China Department of Electrical and Computer Engineering University of Washington Seattle USA

ISBN: (数字)9781728168098

ISBN: (纸本)9781728168104

This paper presents a 2.0-2.9 GHz digital ring-based injection-locked clock multiplier (ILCM) in a 65 nm CMOS process. A self-alignment frequency tracking loop (SA-FTL) with background delay calibration is proposed to improve the accuracy of injection timing. Since the frequency mismatch of the free-running oscillator and the target frequency is minimized without delay error, the reference spur is reduced to -55.6 dBc, exhibiting 15.9 dB improvement comparing to the case that the SA-FTL is off. The proposed ILCM achieves 545 fs RMS jitter at 2.5 GHz output frequency with a power consumption of 3.1 mW, achieving the FoM of 240.3 dB.

关键词： Delays Clocks Oscillators Jitter Calibration Tracking loops

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Polarization tunable bidirectional photoresponse in Van der Waals α−In2Se3/NbX2 (X=S,Se,andTe) ferroelectric diodes

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Physical Review Materials 2023年第8期7卷 084412-084412页

作者： Shibo Fang Qiuhui Li Chen Yang Baochun Wu Shiqi Liu Jie Yang Jiachen Ma Zongmeng Yang Kechao Tang Jing Lu State Key Laboratory for Mesoscopic Physics and School of Physics Peking University Beijing 100871 People's Republic of China State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing 100871 People's Republic China Key Laboratory of Spintronics Materials Devices and Systems of Zhejiang Province Hangzhou 311305 People's Republic of China Key Laboratory of Material Physics School of Physics and Microelectronics Ministry of Education Zhengzhou University Zhengzhou 450001 People's Republic of China Research Center for Materials Architectures and Integration of Nanomembranes (MAIN) Chemnitz University of Technology 09126 Chemnitz Germany School of Integrated Circuits Peking University Beijing 100871 People's Republic of China Collaborative Innovation Center of Quantum Matter Beijing 100871 People's Republic of China Beijing Key Laboratory for Magnetoelectric Materials and Devices (BKL-MEMD) Peking University Beijing 100871 People's Republic of China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010 People's Republic of China Key Laboratory for the Physics and Chemistry of Nanodevices Peking University Beijing 100871 People's Republic of China

Ferroelectric diodes can generate a polarization-controlled bidirectional photoresponse to simulate inhibition and promotion behaviors in the artificial neuromorphic system with fast speed, high energy efficiency, and nonvolatility. However, the existing ferroelectric diodes based on ferroelectric oxides suffer from a weak bidirectional photoresponse (below 1 mA/W), difficult miniaturization, and a large response photon energy (over 3 eV). Here, we design a series of van der Waals α−In2Se3/NbX2 (X = S, Se, and Te) ferroelectric diodes with bidirectional photoresponse by using ab initio quantum transport simulation. These devices show a maximum bidirectional photoresponse of 30 (−19) mA/W and a minimum response photon energy of 1.3 eV at the monolayer thickness. Our work shows advanced optoelectronic applications of the van der Waals ferroelectric diodes in the future artificial neuromorphic system.

关键词： Ferroelectricity First-principles calculations Photocurrent 2-dimensional systems Diodes Ferroelectrics Density functional theory Landauer formula

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