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Water-Induced Bandgap Engineering in Nanoribbons of Hexagonal Boron Nitride

ADVANCED MATERIALS 2023年第36期35卷 e2303198页

作者： Chen, Chen Hang, Yang Wang, Hui Shan Wang, Yang Wang, Xiujun Jiang, Chengxin Feng, Yu Liu, Chenxi Janzen, Eli Edgar, James H. Wei, Zhipeng Guo, Wanlin Hu, Weida Zhang, Zhuhua Wang, Haomin Xie, Xiaoming Univ Chinese Acad Sci Ctr Mat Sci & Optoelect Engn Beijing 100049 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Natl Key Lab Mat Integrated Circuits Shanghai 200050 Peoples R China CAS Ctr Excellence Superconducting Elect CENSE Shanghai 200050 Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Intelligent Nano Mat State Key Lab Mech & Control Aerosp Struct Nanjing 210016 Peoples R China Chinese Acad Sci Shanghai Inst Tech Phys State Key Lab Infrared Phys Shanghai 200083 Peoples R China ShanghaiTech Univ Sch Phys Sci & Technol Shanghai 201210 Peoples R China Kansas State Univ Tim Taylor Dept Chem Engn Manhattan KS 66506 USA Changchun Univ Sci & Technol State Key Lab High Power Semicond Lasers Changchun 130022 Peoples R China

Different from hexagonal boron nitride (hBN) sheets, the bandgap of hBN nanoribbons (BNNRs) can be changed by spatial/electrostatic confinement. It is predicted that a transverse electric field can narrow the bandgap and even cause an insulator-metal transition in BNNRs. However, experimentally introducing an overhigh electric field across the BNNR remains challenging. Here, it is theoretically and experimentally demonstrated that water adsorption greatly reduces the bandgap of zigzag-oriented BNNRs (zBNNRs). Ab initio calculations show that water molecules can be favorably assembled within the trench between two adjacent BNNRs to form a polar ice layer, which induces a transverse equivalent electric field of over 2 V nm(-1) accounting for the bandgap reduction. Field-effect transistors are successfully fabricated from zBNNRs with different widths. The conductance of water-adsorbed zBNNRs can be tuned over 3 orders in magnitude via modulation of the equivalent electrical field at room temperature. Furthermore, photocurrent response measurements are taken to determine the optical bandgaps of zBNNRs with water adsorption. The zBNNR with increased width can exhibit a bandgap down to 1.17 eV. This study offers fundamental insights into new routes toward realizing electronic/optoelectronic devices and circuits based on hexagonal boron nitride.

关键词： boron nitride nanoribbons bandgap engineering edge modification water adsorption transverse potential hexagonal boron nitride

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Strong Convergence Results of Split Equilibrium Problems and Fixed Point Problems

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JOURNAL OF MATHEMATICS 2021年第1期2021卷

作者： Zhu, Li-Jun Kuo, Hsun-Chih Wen, Ching-Feng North Minzu Univ Key Lab Intelligent Informat & Data Proc NingXia Yinchuan 750021 Ningxia Peoples R China Natl Kaohsiung Univ Sci & Technol Dept Risk Management & Insurance Kaohsiung Taiwan Kaohsiung Med Univ Ctr Fundamental Sci Kaohsiung 80708 Taiwan Kaohsiung Med Univ Res Ctr Nonlinear Anal & Optimizat Kaohsiung 80708 Taiwan Kaohsiung Med Univ Hosp Dept Med Res Kaohsiung 80708 Taiwan

In this paper, we investigate the split equilibrium problem and fixed point problem in Hilbert spaces. We propose an iterative scheme for solving such problem in which the involved equilibrium bifunctions f and g are pseudomonotone and monotone, respectively, and the operators S and T are all pseudocontractive. We show that the suggested scheme converges strongly to a solution of the considered problem.

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Bioinspired Dual-Mode Stretchable Strain Sensor Based on Magnetic Nanocomposites for Strain/Magnetic Discrimination

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SMALL 2023年第1期19卷 e2205316页

作者： Guo, Xiaohui Hong, Weiqiang Zhao, Yunong Zhu, Tong Liu, Long Li, Hongjin Wang, Ziwei Wang, Dandan Mai, Zhihong Zhang, Tianxu Yang, Jinyang Zhang, Fengzhe Xia, Yun Hong, Qi Xu, Yaohua Yan, Feng Wang, Ming Xing, Guozhong Anhui Univ Sch Integrated Circuits Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Peoples R China Anhui Prov Key Lab Target Recognit & Feature Extra Luan 237010 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Wuhan 430074 Peoples R China Univ Chinese Acad Sci Chinese Acad Sci Inst Microelect Key Lab Microelect Devices & Integrated Technol Beijing 100029 Peoples R China Hubei JiuFengShan Lab Future Sci & Technol City Wuhan 420000 Hubei Peoples R China Bengbu Zhengyuan Elect Technol Co Ltd Bengbu 233000 Peoples R China Univ Alabama Dept Met & Mat Engn Tuscaloosa AL 35487 USA Fudan Univ Frontier Inst Chip & Syst Shanghai 200433 Peoples R China

Recently, flexible stretchable sensors have been gaining attention for their excellent adaptability for electronic skin applications. However, the preparation of stretchable strain sensors that achieve dual-mode sensing while still retaining ultra-low detection limit of strain, high sensitivity, and low cost is a pressing task. Herein, a high-performance dual-mode stretchable strain sensor (DMSSS) based on biomimetic scorpion foot slit microstructures and multi-walled carbon nanotubes (MWCNTs)/graphene (GR)/silicone rubber (SR)/Fe3O4 nanocomposites is proposed, which can accurately sense strain and magnetic stimuli. The DMSSS exhibits a large strain detection range (approximate to 160%), sensitivity up to 100.56 (130-160%), an ultra-low detection limit of strain (0.16% strain), and superior durability (9000 cycles of stretch/release). The sensor can accurately recognize sign language movement, as well as realize object proximity information perception and whole process information monitoring. Furthermore, human joint movements and micro-expressions can be monitored in real-time. Therefore, the DMSSS of this work opens up promising prospects for applications in sign language pose recognition, non-contact sensing, human-computer interaction, and electronic skin.

关键词： bionic dual-mode magnetic nanocomposites stretchable strain sensors ultra-low detection limit

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Sensing User's Activity, Channel, and Location With Near-Field Extra-Large-Scale MIMO

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IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第2期72卷 890-906页

作者： Qiao, Li Liao, Anwen Li, Zhuoran Wang, Hua Gao, Zhen Gao, Xiang Su, Yu Xiao, Pei You, Li Ng, Derrick Wing Kwan Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Univ Surrey 5GIC 6GIC Ctr Guildford GU2 7XH England Univ Surrey Inst Commun Syst ICS Guildford GU2 7XH England Nanjing Res Inst Elect Technol Nanjing 210039 Peoples R China Beijing Inst Technol MIIT Key Lab Complex Field Intelligent Sensing Beijing 100081 Peoples R China Beijing Inst Technol Jiaxing Yangtze Delta Reg Acad Jiaxing 314019 Peoples R China Beijing Inst Technol Adv Technol Res Inst Jinan 250307 Peoples R China Beijing Inst Technol Sch Integrated Circuits & Elect Beijing 100081 Peoples R China China Mobile Chengdu Inst Res & Dev Chengdu 610000 Sichuan Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211100 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2025 Australia

This paper proposes a grant-free massive access scheme based on the millimeter wave (mmWave) extra-large-scale multiple-input multiple-output (XL-MIMO) to support massive Internet-of-Things (IoT) devices with low latency, high data rate, and high localization accuracy in the upcoming sixth-generation (6G) networks. The XL-MIMO consists of multiple antenna subarrays that are widely spaced over the service area to ensure line-of-sight (LoS) transmissions. First, we establish the XL-MIMO-based massive access model considering the near-field spatial non-stationary (SNS) property. Then, by exploiting the block sparsity of subarrays and the SNS property, we propose a structured block orthogonal matching pursuit algorithm for efficient active user detection (AUD) and channel estimation (CE). Furthermore, different sensing matrices are applied in different pilot subcarriers for exploiting the diversity gains. Additionally, a multi-subarray collaborative localization algorithm is designed for localization. In particular, the angle of arrival (AoA) and time difference of arrival (TDoA) of the LoS links between active users and related subarrays are extracted from the estimated XL-MIMO channels, and then the coordinates of active users are acquired by jointly utilizing the AoAs and TDoAs. Simulation results show that the proposed algorithms outperform existing algorithms in terms of AUD and CE performance and can achieve centimeter-level localization accuracy.

关键词： Internet of Things massive access active user detection channel estimation millimeter-wave extra-large-scale MIMO wireless sensing and localization

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intelligent Microsystem for Sound Event Recognition in Edge Computing Using End-to-End Mesh Networking

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SENSORS 2023年第7期23卷 3630页

作者： Hou, Lulu Duan, Wenrui Xuan, Guozhe Xiao, Shanpeng Li, Yuan Li, Yizheng Zhao, Jiahao Beijing Informat Sci & Technol Univ Sch Instrument Sci & Optoelect Engn Beijing 100192 Peoples R China Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China Tsinghua Univ Key Lab Smart Microsyst Minist Educ Beijing 100084 Peoples R China State Key Lab Precis Measurement Technol & Instrum Beijing 100084 Peoples R China Beijing Lab Biomed Detect Technol & Instrument Beijing 100084 Peoples R China Beijing Adv Innovat Ctr Integrated Circuits Beijing 100084 Peoples R China China Mobile Res Inst Beijing 100053 Peoples R China Tsinghua Univ China Mobile Joint Res Inst IoT Intelligent Microsyst Ctr Beijing 100084 Peoples R China

Wireless acoustic sensor networks (WASNs) and intelligent microsystems are crucial components of the Internet of Things (IoT) ecosystem. In various IoT applications, small, lightweight, and low-power microsystems are essential to enable autonomous edge computing and networked cooperative work. This study presents an innovative intelligent microsystem with wireless networking capabilities, sound sensing, and sound event recognition. The microsystem is designed with optimized sensing, energy supply, processing, and transceiver modules to achieve small size and low power consumption. Additionally, a low-computational sound event recognition algorithm based on a Convolutional Neural Network has been designed and integrated into the microsystem. Multiple microsystems are connected using low-power Bluetooth Mesh wireless networking technology to form a meshed WASN, which is easily accessible, flexible to expand, and straightforward to manage with smartphones. The microsystem is 7.36 cm(3) in size and weighs 8 g without housing. The microsystem can accurately recognize sound events in both trained and untrained data tests, achieving an average accuracy of over 92.50% for alarm sounds above 70 dB and water flow sounds above 55 dB. The microsystems can communicate wirelessly with a direct range of 5 m. It can be applied in the field of home IoT and border security.

关键词： wireless acoustic sensor network intelligent microsystem sound event recognition edge computing BLE mesh acoustic signal processing meshed network

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Gait Phase Classification Based on sEMG Signals Using Long Short-Term Memory for Lower Limb Exoskeleton Robot

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IOP Conference Series: Materials Science and Engineering 2020年第1期853卷

作者： Ye Yuan Ziming Guo Can Wang Shengcai Duan Lufeng Zhang Xinyu Wu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences CAS Key Laboratory of Human-Machine Intelligence-Synergic Systems Shenzhen Institutes of Advanced Technology Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University.

In this work, we present a Long Short-Term Memory Model (LSTMM) for gait phase classification based on sEMG signals to control the lower limb exoskeleton robot which can recognize 2 phases (Stand and Swing) of leg phases between the foot and ground. This model only needs four sEMG signals to control the lower limb exoskeleton robot helping the hemiplegia patient walking. Compared with the existing methods, the proposed model not only avoids the complex sensor systems but also enhances the accuracy of gait phase classification. The experimental results first verify the availability of sEMG data acquisition system on the lower limb exoskeleton robot made by the Shenzhen Institutes of Advanced Technologies (SIAT) by quantify the system with gold standard optoelectronic system Vicon, then show that the proposed LSTMM is significantly higher on prediction accuracy and has better robustness for gait phase classification to control the lower limb exoskeleton robot with different speeds. Finally, the maximum accuracy of LSTMM on the gait phase classification is 97.89%.

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2022 roadmap on neuromorphic devices and applications research in China

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NEUROMORPHIC COMPUTING AND ENGINEERING 2022年第4期2卷 042501-042501页

作者： Wan, Qing Wan, Changjin Wu, Huaqiang Yang, Yuchao Huang, Xiaohe Zhou, Peng Chen, Lin Wang, Tian-Yu Li, Yi Xue, Kan-Hao He, Yu-Hui Miao, Xiang-Shui Li, Xi Xie, Chenchen Chen, Houpeng Song, Zhitang Wang, Hong Hao, Yue Zhang, Junyao Huang, Jia Ren, Zheng Yu Zhu, Li Qiang Du, Jianyu Ge, Chen Liu, Yang Ding, Guanglong Zhou, Ye Han, Su-Ting Wang, Guosheng Yu, Xiao Chen, Bing Chu, Zhufei Wang, Lunyao Xia, Yinshui Mu, Chen Lin, Feng Chen, Chixiao Cheng, Bojun Xing, Yannan Zeng, Weitao Chen, Hong Yu, Lei Indiveri, Giacomo Qiao, Ning Nanjing Univ Sch Elect Sci & Engn Nanjing Peoples R China Tsinghua Univ Beijing Peoples R China Peking Univ Beijing Peoples R China Fudan Univ Sch Microelect State Key Lab ASIC & Syst Shanghai 200433 Peoples R China Huazhong Univ Sci & Technol Sch Integrated Circuits Sch Opt & Elect Informat Wuhan 430074 Peoples R China Hubei Yangtze Memory Labs Wuhan 430205 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai Key Lab Nanofabricat Technol Memory Beijing Peoples R China Xidian Univ Sch Microelect Key Lab Wide Band Gap Semicond Technol Xian 710071 Peoples R China Tongji Univ Interdisciplinary Mat Res Ctr Frontiers Sci Ctr Intelligent Autonomous Syst Sch Mat Sci & Engn Shanghai 201804 Peoples R China Ningbo Univ Sch Phys Sci & Technol Ningbo 315211 Zhejiang Peoples R China Chinese Acad Sci Ningbo Inst Mat Technol & Engn Ningbo 315201 Zhejiang Peoples R China ShanghaiTech Univ Sch Phys Sci & Technol Shanghai 201210 Peoples R China Chinese Acad Sci Inst Phys Beijing Natl Lab Condensed Matter Phys Beijing 100190 Peoples R China Shenzhen Univ Inst Microscale Optoelect Shenzhen 518060 Peoples R China Shenzhen Univ Inst Adv Study Shenzhen 518060 Peoples R China Zhejiang Lab Res Ctr Intelligent Chips Hangzhou 311121 Peoples R China Zhejiang Univ Sch Micronano Elect Hangzhou 310058 Peoples R China Ningbo Univ Fac Elect Engn & Comp Sci EECS Ningbo Peoples R China SynSense AG Thurgauerstr 40 CH-8050 Zurich Switzerland Chengdu SynSense Tech Co Ltd 1577 Tianfu Rd Chengdu Sichuan Peoples R China Wuhan Univ Sch Elect & Informat 299 Bayi Rd Wuhan Peoples R China Univ Zurich Ramistr 71 CH-8006 Zurich Switzerland

The data throughput in the von Neumann architecture-based computing system is limited by its separated processing and memory structure, and the mismatching speed between the two units. As a result, it is quite difficult to improve the energy efficiency in conventional computing system, especially for dealing with unstructured data. Meanwhile, artificial intelligence and robotics nowadays still behave poorly in autonomy, creativity, and sociality, which has been considered as the unimaginable computational requirement for sensorimotor skills. These two plights have urged the imitation and replication of the biological systems in terms of computing, sensing, and even motoring. Hence, the so-called neuromorphic system has drawn worldwide attention in recent decade, which is aimed at addressing the aforementioned needs from the mimicking of neural system. The recent developments on emerging memory devices, nanotechnologies, and materials science have provided an unprecedented opportunity for this aim.

关键词： neuromorphic computing memristors in-memory computing 2D memristors neuromorphic devices China

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Strong Convergence Analysis of Iterative Algorithms for Solving Variational Inclusions and Fixed-Point Problems of Pseudocontractive Operators

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JOURNAL OF MATHEMATICS 2021年第1期2021卷

作者： Yao, Zhangsong Wu, Yan-Kuen Wen, Ching-Feng Nanjing Xiaozhuang Univ Sch Informat Engn Nanjing 211171 Peoples R China Zhejiang Yuexiu Univ Foreign Languages Coll Int Business Shaoxin Zhejiang Peoples R China Zhejiang Yuexiu Univ Foreign Languages Shaoxing Key Lab Intelligent Monitoring & Prevent Shaoxin Zhejiang Peoples R China Kaohsiung Med Univ Ctr Fundamental Sci Kaohsiung 80708 Taiwan Kaohsiung Med Univ Res Ctr Nonlinear Anal & Optimizat Kaohsiung 80708 Taiwan Kaohsiung Med Univ Hosp Dept Med Res Kaohsiung 80708 Taiwan

Iterative methods for solving variational inclusions and fixed-point problems have been considered and investigated by many scholars. In this paper, we use the Halpern-type method for finding a common solution of variational inclusions and fixed-point problems of pseudocontractive operators. We show that the proposed algorithm has strong convergence under some mild conditions.

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Room-temperature sub-100 nm Neel-type skyrmions in non-stoichiometric van der Waals ferromagnet Fe3-xGaTe2 with ultrafast laser writability

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NATURE COMMUNICATIONS 2024年第1期15卷 1-11页

作者： Li, Zefang Zhang, Huai Li, Guanqi Guo, Jiangteng Wang, Qingping Deng, Ying Hu, Yue Hu, Xuange Liu, Can Qin, Minghui Shen, Xi Yu, Richeng Gao, Xingsen Liao, Zhimin Liu, Junming Hou, Zhipeng Zhu, Yimei Fu, Xuewen Nankai Univ Sch Phys Ultrafast Electron Microscopy Lab MOE Key Lab Weak Light Nonlinear Photon Tianjin Peoples R China South China Normal Univ Inst Adv Mat South China Acad Adv Optoelect Guangdong Prov Key Lab Opt Informat Mat & Technol Guangzhou Peoples R China Guangdong Univ Technol Sch Integrated Circuits Guangzhou Peoples R China Aba Teachers Coll Dept Elect Engn Wenchuan Peoples R China Inst Phys Chinese Acad Sci Beijing Natl Lab Condensed Matter Phys Beijing Peoples R China Peking Univ State Key Lab Mesoscop Phys Beijing Peoples R China Peking Univ Frontiers Sci Ctr Nanooptoelectron Sch Phys Beijing Peoples R China Nanjing Univ Lab Solid State Microstruct Nanjing Peoples R China Nanjing Univ Innovat Ctr Adv Microstruct Nanjing Peoples R China Brookhaven Natl Lab Condensed Matter Phys Upton NY 11973 USA Brookhaven Natl Lab Mat Sci Dept Upton NY 11973 USA Nankai Univ Smart Sensing Interdisciplinary Sci Ctr Sch Mat Sci & Engn Tianjin Peoples R China

Realizing room-temperature magnetic skyrmions in two-dimensional van der Waals ferromagnets offers unparalleled prospects for future spintronic applications. However, due to the intrinsic spin fluctuations that suppress atomic long-range magnetic order and the inherent inversion crystal symmetry that excludes the presence of the Dzyaloshinskii-Moriya interaction, achieving room-temperature skyrmions in 2D magnets remains a formidable challenge. In this study, we target room-temperature 2D magnet Fe3GaTe2 and unveil that the introduction of iron-deficient into this compound enables spatial inversion symmetry breaking, thus inducing a significant Dzyaloshinskii-Moriya interaction that brings about room-temperature N & eacute;el-type skyrmions with unprecedentedly small size. To further enhance the practical applications of this finding, we employ a homemade in-situ optical Lorentz transmission electron microscopy to demonstrate ultrafast writing of skyrmions in Fe3-xGaTe2 using a single femtosecond laser pulse. Our results manifest the Fe3-xGaTe2 as a promising building block for realizing skyrmion-based magneto-optical functionalities.

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Atomic-level polarization reversal in sliding ferroelectric semiconductors (vol 15, 3799, 2024)

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NATURE COMMUNICATIONS 2024年第1期15卷 1-8页

作者： Sui, Fengrui Li, Haoyang Qi, Ruijuan Jin, Min Lv, Zhiwei Wu, Menghao Liu, Xuechao Zheng, Yufan Liu, Beituo Ge, Rui Wu, Yu-Ning Huang, Rong Yue, Fangyu Chu, Junhao Duan, Chungang East China Normal Univ Sch Phys & Elect Sci Key Lab Polar Mat & Devices MOE Shanghai 200062 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Natl Key Lab Mat Integrated Circuits Shanghai 200050 Peoples R China Shanghai Dianji Univ Coll Mat Shanghai 201306 Peoples R China Huazhong Univ Sci & Technol Sch Phys Wuhan 430074 Peoples R China Chinese Acad Sci Shanghai Inst Ceram Shanghai 200050 Peoples R China Shanxi Univ Collaborat Innovat Ctr Extreme Opt Taiyuan 030006 Shanxi Peoples R China East China Normal Univ Shanghai Ctr Brain inspired Intelligent Mat & Dev Shanghai 200062 Peoples R China Shanghai Inst Tech Phys Natl Lab Infrared Phys Shanghai 200083 Peoples R China

Intriguing “slidetronics” has been reported in van der Waals (vdW) layered non-centrosymmetric materials and newly-emerging artificially-tuned twisted moiré superlattices, but correlative experiments that spatially track the interlayer sliding dynamics at atomic-level remain elusive. Here, we address the decisive challenge to in-situ trace the atomic-level interlayer sliding and the induced polarization reversal in vdW-layered yttrium-doped γ-InSe, step by step and atom by atom. We directly observe the real-time interlayer sliding by a 1/3-unit cell along the armchair direction, corresponding to vertical polarization reversal. The sliding driven only by low energetic electron-beam illumination suggests rather low switching barriers. Additionally, we propose a new sliding mechanism that supports the observed reversal pathway, i.e., two bilayer units slide towards each other simultaneously. Our insights into the polarization reversal via the atomic-scale interlayer sliding provide a momentous initial progress for the ongoing and future research on sliding ferroelectrics towards non-volatile storages or ferroelectric field-effect transistors.

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