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11th Symposium on Semiconductor Process Integration - 236th ECS Meeting

作者： Shimawaki, H. Mimura, H. Murakami, K. Nagao, M. Department of System and Information Engineering Hachinohe Institute of Technology Hachinohe Aomori031-8501 Japan Research Institute of Electronics Shizuoka University Hamamatsu Japan National Institute of Advanced Industrial Science and Technology Tsukuba Japan

ISBN: (纸本)9781607688785

The electron emission properties of planar-type electron emission devices based on oxidized nanocrystalline silicon (nc-Si) were investigated to improve the performance. The emission current and the emission efficiency are higher for the thinner gate electrode, and the emission efficiency was enhanced to 4 % by reducing the topmost electrode thickness. The emission current was enhanced by about two orders of magnitude by laser irradiation. In addition, we demonstrated laser pulse-induced, optically-modulated electron emission from the nc-Si based device. © The Electrochemical Society.

关键词： Nanocrystalline silicon

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Magnetic order in XY-type antiferromagnetic monolayer CoPS3 revealed by Raman spectroscopy

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Physical Review B 2021年第23期103卷 235411-235411页

作者： Qiye Liu Le Wang Ying Fu Xi Zhang Lianglong Huang Huimin Su Junhao Lin Xiaobin Chen Dapeng Yu Xiaodong Cui Jia-Wei Mei Jun-Feng Dai Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology Shenzhen 518055 China Department of Physics The University of Hong Kong Pokfulam 999077 Hong Kong Shannxi Institute of Flexible Electronics Northwestern Polytechnical University Xi'an 710072 China School of Science and State Key Laboratory on Tunable Laser Technology and Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen 518055 China Shenzhen Key Laboratory of Advanced Quantum Functional Materials and Devices Southern University of Science and Technology Shenzhen 518055 China Shenzhen Key Laboratory of Quantum Science and Engineering Shenzhen 518055 China

Mermin-Wagner-Coleman theorem predicts no long-range magnetic order at finite temperature in the two-dimensional (2D) isotropic systems, but it does predict a quasi-long-range order with a divergent correlation length at the Kosterlitz-Thouless (KT) transition for planar magnets. As a representative of two-dimensional planar antiferromagnets, single-layer CoPS3 carries the promise of monolayer antiferromagnetic platforms for the ultimately thin spintronics. Here, with the aid of magnetostriction which is sensitive to the local magnetic order, we observe the signature phonon mode splitting of below TKT in monolayer CoPS3. The two-magnon signal in the monolayer one manifests the associated magnetic transition. It indicates the quasi-long-range order in an exact 2D planar spin model below KT phase transition. The ratio (J′/J) between the interlayer and intralayer interactions, which characterizes the 2D behaviors, is evaluated to be around 0.03. Our results provide an efficient method to detect the quasi-long-range antiferromagnetic ordering in the two-dimensional magnets down to the monolayer limit.

关键词： Antiferromagnetism Magnetostriction Antiferromagnets Transition metal dichalcogenides Raman spectroscopy

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Developing an Agricultural Internet of Things system Using Low Power Wide Area Technology

Developing an Agricultural Internet of Things System Using L...

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IEEE International Conference on Computing, Communications and IoT Applications

作者： Yuki Matamura Shinji Chiba Advanced Course of Information and Electronic System National Institute of Technology Sendai College Department of General Engineering National Institute of Technology Sendai College

ISBN: (数字)9781728119731

ISBN: (纸本)9781728119748

Smart agriculture is used by many farmers and its effects, which decrease the workload on farms and increase crop yield, have been confirmed. However, it has not yet become popular with medium- or small-scale farmers in Japan, many of whom are quite elderly, because of its high cost and uncertainties about its effect. Therefore, we proposed an agricultural Internet of Things (IoT) system using low power wide area (LPWA) wireless technology. The IoT system consists of a sensor network, remote control devices, and a smartphone application. Our LPWA communication system covers all fields in a large farm;therefore, farmers can use our system at a low cost by sharing the communication system. Furthermore, because the smartphone application allows farmers share farm information with privacy they can control, they can use the application to support each other. We began experiments using this IoT system with farmers;this paper presents the results of those experiments and discusses the availability of this system.

关键词： LPWA Sub-GHz wireless Smart agriculture Sensor network Smartphone application Sensor networks Internet of things Farmers (2004) Farms Smartphone

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Reviewing continual learning from the perspective of human-level intelligence

arXiv

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arXiv 2021年

作者： Chang, Yifan Li, Wenbo Peng, Jian Tang, Bo Kang, Yu Lei, Yinjie Gui, Yuanmiao Zhu, Qing Liu, Yu Li, Haifeng The State Key Laboratory of Fire Science Department of Automation and Institute of Advanced Technology University of Science and Technology of China Hefei China Institute of Intelligent Machines Chinese Academy of Sciences Hefei230031 China The Department of Electrical and Computer Engineering Mississippi State University United States College of Electronics and Information Engineering Sichuan University Chengdu China Faculty of Geosciences and Environmental Engineering The Southwest Jiaotong University Chengdu China Institute of Remote Sensing and Geographic Information System Peking Universit Beijing China School of Geosciences and Info-Physics Central South University South Lushan Road Changsha410083 China

Humans continual learning (CL) ability is closely related to Stability Versus Plasticity Dilemma that describes how humans achieve ongoing learning capacity and preservation for learned information. The notion of CL has always been present in artificial intelligence (AI) since its births. This paper proposes a comprehensive review of CL. Different from previous reviews that mainly focus on the catastrophic forgetting phenomenon in CL, this paper surveys CL from a more macroscopic perspective based on the Stability Versus Plasticity mechanism. Analogous to biological counterpart, "smart" AI agents are supposed to i) remember previously learned information (information retrospection);ii) infer on new information continuously (information prospection:);iii) transfer useful information (information transfer), to achieve high-level CL. According to the taxonomy, evaluation metrics, algorithms, applications as well as some open issues are then introduced. Our main contributions concern i) rechecking CL from the level of artificial general intelligence;ii) providing a detailed and extensive overview on CL topics;iii) presenting some novel ideas on the potential development of CL. © 2021, CC BY.

关键词： Petroleum reservoir evaluation

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High Conductance Margin for Efficient Neuromorphic Computing Enabled by Stacking Nonvolatile van der Waals Transistors

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Physical Review Applied 2021年第4期16卷 044049-044049页

作者： Liping Xu (徐丽萍) Hao Xiong (熊浩) Zhichao Fu (付志超) Menghan Deng (邓梦晗) Shuiyuan Wang (王水源) Jinzhong Zhang (张金中) Liyan Shang (商丽燕) Kai Jiang (姜凯) Yawei Li (李亚巍) Liangqing Zhu (朱亮清) Liang He Zhigao Hu (胡志高) Junhao Chu (褚君浩) Technical Center for Multifunctional Magneto-Optical Spectroscopy (Shanghai) Engineering Research Center of Nanophotonics & Advanced Instrument (Ministry of Education) Department of Materials School of Physics and Electronic Science East China Normal University Shanghai 200241 China Center for Advanced Electronic Materials and Devices School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Computer Science and Technology East China Normal University Shanghai 200062 China ASIC & System State Key Laboratory School of Microelectronics Fudan University Shanghai 200433 China Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 China Shanghai Institute of Intelligent Electronics & Systems Fudan University Shanghai 200433 China

High-performance artificial synaptic devices are key building blocks for developing efficient neuromorphic computing systems. However, the nonlinear and asymmetric weight update of existing devices has restricted their practical applications. Herein, floating gate nonvolatile memory (FG NVM) devices based on two-dimensional (2D) HfS2/h-BN/FG-graphene heterostructures have been designed and investigated as multifunctional NVM and artificial optoelectronic synapses. Benefiting from the FG architecture, the HfS2-based NVM device exhibits competitive performances, such as a high on:off ratio (>105), large memory window (approximately 100 V), excellent charge retention ability (>104s), and robust durability (>103 cycles). Notably, the artificial optoelectronic synapses based on HfS2 FG NVM show an impressive large conductance margin and good linearity, owing to the ultrahigh photoresponsivity and photogain of HfS2. The energy consumption of per spike in our artificial synapse is as low as 0.2 pJ. Therefore, a high recognition accuracy up to 91.5% of the artificial neural network on the basis of our HfS2-based optoelectronic synapse at the system level has been achieved, which is superior to other reported 2D artificial optoelectronic synapses. This work paves the way forward for all 2D material-based memory for developing efficient optogenetics-inspired neuromorphic computing in brain-inspired intelligent systems.

关键词： Electrical conductivity Optoelectronics Synapses 2-dimensional systems Artificial neural networks Transistors Transition metal dichalcogenides Lithography

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二维/三维异质结构的纳米级相管理以实现高效的钙钛矿太阳能电池（英文）

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Science Bulletin 2024年第18期 2853-2861页

作者：顾浩朱桉楠夏俊民李旺郑嘉豪杨涛李胜文张楠梅时良蔡永青陈石梁超邢贵川 Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM) Nanjing University of Posts & Telecommunications (NUPT) MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of Physics National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology Xi'an Jiaotong University Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Institute for Electric Light Sources School of Information Science and Technology Fudan University

The stabilization of the formamidinium lead iodide （FAPbⅠ3） structure is pivotal for the development of efficient photovoltaic *** two-dimensional （2D） layers to passivate the threedimensional （3D） perovskite is essential for maintaining the a-phase of FAPb Ⅰ3and enhancing the power conversion efficiency （PCE） of perovskite solar cells （PSCs）.However,the role of bulky ligands in the phase management of 2D perovskites,crucial for the stabilization of FAPbⅠ3,has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with

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Modeling of fuzzy BN prediction of a complex multi-level system considering multiple states 65

Modeling of fuzzy BN prediction of a complex multi-level sys...

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65th Annual Technical Meeting and Exposition of the Institute of Environmental Sciences and Technology, ESTECH 2019

作者： Wang, Xiaohong Wang, Yuqing Wang, Lizhi Wang, Jingbin School of Reliability and Systems Engineering Beihang University Beijing100191 China Unmanned System Institute Beihang University Beijing100191 China Key Laboratory of Advanced Technology of Intelligent Unmanned Flight System of Ministry of Industry and Information Technology Beihang University Beijing100191 China AVIC Aeronautical Radio Electronics Research Institute Shanghai201100 China

Reliability modeling of a multi-level system is of great significance to ensure safety, while also presenting new requirements in order to define a full description of the system. However, in traditional reliability research, most systems are considered to have only two states, which is often inadequate and leads to inaccurate predictions. The difference between reality and analysis can be significant such that the analyses cannot meet the needs of more complex systems. In this study, to reach a full understanding for a multi-level system, a modeling framework based on a fuzzy Bayesian Network (BN) is presented. First, state probabilities of root nodes are obtained by integrating the mature prediction model at the component-level. The logical association mapping is developed to achieve a system-level prediction. Second, fuzzy fusion theory is introduced into the BN reliability model to enable it to handle fuzzy information. Finally, by modifying the conditional probability table for the higher-level nodes, all root nodes in the BN are more finely divided into multi-states. The proposed framework is applied to a solar-power unmanned system to illustrate the validity of the model. The network and results from this framework can be used to further analyze the reliability and security of a complex multi-level system with fuzzy and uncertain information in life cycle management. © 2019 Institute of Environmental Sciences and Technology. All rights reserved.

关键词： Bayesian networks

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Range Verification using Prompt Gamma-rays with Energy Spectral Analysis in Geant4 Based Proton Therapy Simulation

Range Verification using Prompt Gamma-rays with Energy Spect...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Tsukasa Aso Hiroki Oke Teiji Nishio Department of Electronics and Computer Engineering National Institute of Technology Toyama College Japan Control Information System Engineering Program Advanced Course National Institute of Technology Toyama College Japan Department of Medical Physics Tokyo Women’s Medical University Japan

ISBN: (数字)9781728141640

ISBN: (纸本)9781728141657

Range verification of therapeutic proton beam is crucial in proton therapy to confirm the irradiation field for ensuring effects and safety of the treatment. The irradiation field reconstruction using prompt gamma-rays generated from excited nuclides by proton beam has being studied for the purpose of precision medicine. A simulation tool based on fundamental physics processes employs an important role to understand intermediate relationship between physics interactions and detected observables, and to optimize a detector system with its analysis method. Previously, we reported on the simulation study about an irradiation field reconstruction by using prompt gamma-rays of whole energy range. In this study, we analyzed the energy spectrum and reconstructed the image of irradiation field by using prompt gamma-rays corresponding to a particular energy peak. The simulation was performed for proton beam with a target placed at the isocenter by using Geant4 based particle therapy system simulation framework. A simple tubular detector was placed around the target, in which the kinetic energy and the detected position of each gamma-ray were recorded. The irradiation field was then reconstructed in the ordered subset expectation maximization method. The reconstructed irradiation fields were compared with the dose distribution in the target. The peak positions of these depth distributions were compared each other and discussed about the range verification of therapeutic proton beam.

关键词： Image reconstruction Radiation effects Gamma-rays Particle beams Medical treatment Detectors

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A Regional IoT system Using LPWA to Ensure the Safety of Local Residents and Tourists

A Regional IoT System Using LPWA to Ensure the Safety of Loc...

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IEEE International Conference on Computing, Communications and IoT Applications

作者： Hiromu Takahashi Reiya Takeda Shinji Chiba Advanced Course of Information and Electronic System National Institute of Technology Sendai College Department of AreaIP SoftBank Corp. Department of General Engineering National Institute of Technology Sendai College

ISBN: (数字)9781728119731

ISBN: (纸本)9781728119748

The declining birthrate, aging population, and urbanization in Japan have reduced the functions of local communities. As a result, it has become difficult to ensure the safety of the elderly and children, who are socially vulnerable in the communities. Moreover, in recent years, the number of inbound tourists has increased considerably in Japan. Many natural disasters (earthquakes and typhoons) tend to occur in Japan, causing serious damage to tourist facilities and accommodation facilities. Thus, tourists visiting an unfamiliar country can also be categorized as a socially vulnerable population, given the frequency of natural disasters and even accidents, which can prevent them from seeking help or complicate their evacuation. In this paper, we present a newly developed regional surveillance support system using Internet of Things (IoT). The intention of our proposed IoT system is to ensure the safety of local residents and tourists. We experiment on the implemented system and verify its effectiveness.

关键词： LPWA Private loRa ICT Wearable sensor IoT surveillance system Wearable sensors tourists information technology information and communication technology International Criminal Tribunal safety Consumer safety Natural Disasters tourist facility Communities Ensure Typhoons

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Probing quasi-long-range ordering by magnetostriction in monolayer CoPS3

arXiv

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arXiv 2021年

作者： Liu, Qiye Wang, Le Fu, Ying Zhang, Xi Huang, Lianglong Su, Huimin Lin, Junhao Chen, Xiaobin Yu, Dapeng Cui, Xiaodong Mei, Jia-Wei Dai, Jun-Feng Shenzhen Institute for Quantum Science and Engineering Department of Physics Southern University of Science and Technology Shenzhen518055 China Department of Physics The University of Hong Kong Pokfulam999077 Hong Kong Shenzhen Key Laboratory of Quantum Science and Engineering Shenzhen518055 China Shenzhen Key Laboratory of Advanced Quantum Functional Materials and Devices Southern University of Science and Technology Shenzhen518055 China Shannxi Institute of Flexible Electronics Northwestern Polytechnical University Xi’an710072 China School of Science State Key Laboratory on Tunable Laser Technology Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen518055 China

Mermin-Wagner-Coleman theorem predicts no long-range magnetic order at finite temperature in the two-dimensional (2D) isotropic systems, but a quasi-long-range order with a divergent correlation length at the Kosterlitz–Thouless (KT) transition for planar magnets. As a representative of two-dimensional planar antiferromagnets, single-layer CoPS3 carries the promise of monolayer antiferromagnetic platforms for the ultimately thin spintronics. Here, with the aid of magnetostriction which is sensitive to the local magnetic order, we observe the signatured phonon mode splitting of below TKT in monolayer CoPS3, revealing the presence of quasi-long-range ordering in XY-type antiferromagnet. Moreover, the ratio (J’/J) between the interlayer and intralayer interactions, which characterizes the 2D behaviors, is evaluated to be around 0.03 for the first time. Our results provide an efficient method to detect the quasi-long-range antiferromagnetic ordering in the two-dimensional magnets down to monolayer limit. Copyright © 2021, The Authors. All rights reserved.

关键词： Monolayers

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