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

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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中国碳收支:1980~2021年

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science Bulletin 2024年第1期69卷 114-124页

作者：夏晓圣任培阳王旭辉刘丹陈修治丹利何斌何洪林居为民梁敏琪陆星劼彭静覃章才夏江周郑博魏静乐旭于贵瑞朴世龙袁文平 School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon CycleSun Yat-sen UniversityZhuhai 510245China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100091China State Key Laboratory of Tibetan Plateau Earth System Resources and EnvironmentInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System ScienceBeijing Normal UniversityBeijing 100875China Synthesis Research Center of China’s Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China International Institute for Earth System Science Nanjing UniversityNanjing 210023China Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal UniversityTianjin 300387China Institute of Environment and Ecology Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044China

As one of the world's largest emitters of greenhouse gases,China has set itself the ambitious goal of achieving carbon peaking and carbon ***,it is crucial to quantify the magnitude and trend of sources and sinks of atmospheric carbon dioxide(CO_(2)),and to monitor China's progress toward these *** state-of-the-art datasets and models,this study comprehensively estimated the anthropogenic CO_(2)emissions from energy,industrial processes and product use,and waste along with natural sources and sinks of CO_(2)for all of China during *** recognize the differences among various methods of estimating greenhouse emissions,the estimates are compared with China's National Greenhouse Gas Inventories(NGHGIs)for 1994,2005,2010,2012,and *** CO_(2)emissions in China have increased by 7.39 times from 1980 to 12.77 Gt CO_(2)a^(-1)in *** benefiting from ecological projects(e.g.,Three Norths Shelter Forest system Project),the land carbon sink in China has reached 1.65 Gt CO_(2)a^(-1)averaged through 2010-2021,which is almost 15.81 times that of the carbon sink in the *** average,China's terrestrial ecosystems offset 14.69%±2.49%of anthropogenic CO_(2)emissions through *** provincial-level administrative regions of China,Xizang and Qinghai,have achieved carbon neutrality according to our estimates,but nearly half of the administrative regions of China have terrestrial carbon sink offsets of less than 10%of anthropogenic CO_(2)*** study indicated a high level of consistency between NGHGIs and various datasets used for estimating fossil CO_(2)emissions,but found notable differences for land carbon *** estimates of the terrestrial carbon sinks of NGHGIs urgently need to be verified with process-based models which integrate the comprehensive carbon cycle processes.

关键词： CO_(2)emission Land carbon sink China Carbon neutrality Carbon budget

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Integrating douglas-peucker line simplification into routeboxer algorithm on a map-based Android application 20

Integrating douglas-peucker line simplification into routebo...

引用

5th International Conference on Sustainable information engineering and Technology, SIET 2020

作者： Pinandito, Aryo Wulandari, Chandrawati Putri Department of Information System Faculty of Computer Science Universitas Brawijaya Malang Jawa Timur Indonesia Department of Industrial Engineering Faculty of Advanced and Multidisciplinary Technology Universitas Airlangga Surabaya Jawa Timur Indonesia Department of Information Engineering Graduate School of Engineering Hiroshima University Japan

ISBN: (纸本)9781450376051

A map-based application is, by and large, useful to search for information about locations or places. The application, such as Google Maps, provides commuting or navigation information of a particular place. With the mobile version of Google Maps, people can get such information directly from their mobile devices. Google also has a directions interface that supports finding a navigational path between two specified locations. In recognizing an area surrounding the path, there is an algorithm to support that functionality, namely RouteBoxer. The recognized surrounding area can be utilized further by the application to identify places nearby. In finding a path's surrounding area, the RouteBoxer algorithm defines a grid of rectangles that cover the whole path and marks rectangles nearby by traversing the path. However, the algorithm's computational performance becomes unacceptably slow when the path contains many path points. The RouteBoxer algorithm accepts a collection of geolocation points to represent the path and a user-specified distance away from the path to identify the area surrounding the path. This research measures the algorithm performance while incorporating the Douglas-Peucker line simplification algorithm to reduce the number of points processed by the RouteBoxer algorithm, hence improve its processing performance. An experiment shows that the path simplification process reduces up to 99% points of a path, improves the original RouteBoxer calculation performance up to 87.8 times faster, and maintains its precision above 92.6%. © 2020 ACM.

关键词： Android (operating system)

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Universal Domain Adaptation for Hyperspectral Image Classification

Universal Domain Adaptation for Hyperspectral Image Classifi...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Qingmei Li Yibin Wen Juepeng Zheng Yuxiang Zhang Haohuan Fu College of Engineering Peking University Beijing China National Supercomputing Center in Shenzhen Shenzhen China School of Artificial Intelligence Sun Yat-Sen University Zhuhai China School of Information and Electronics Beijing Institute of Technology Beijing China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China Tsinghua University (Department of Earth System Science) Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping Beijing China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Although enormous Domain Adaptation (DA) approaches have been proposed for cross-scene hyperspectral image (HSI) classification, most of them strongly rely on prior knowledge of the relationship between the label sets of source and target domains (including closed-set, partial and open-set DA), which significantly limits their applications. In a real-world application scenario, we often transfer knowledge between domains without any constraints on the label sets, which is called Universal Domain Adaptation (UniDA). In this paper, we propose HyUniDA, which is the first attempt to address UniDA scenario from HSIs. HyUniDA contains two major parts: the Shared Semantic Pairing (SSP) and Domain Similarity Score (DSS). The SSP identifies pairs of clusters that have coincident semantic features as the common classes. By examining the consistency level of samples across source and target domains, DSS can estimate the number of target clusters and generate distinct clusters without prior knowledge. We evaluate our proposed method on two transfer learning tasks for four typical HSI datasets, it turns out that our proposed method yields 6.41%∼34.71% improvements compared to other state-of-the-art DA methods.

关键词： Semantics Transfer learning Geoscience and remote sensing Task analysis Hyperspectral imaging Image classification

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Structural Robustness of Complex Networks: A Survey of A Posteriori Measures

arXiv

引用

arXiv 2023年

作者： Lou, Yang Wang, Lin Chen, Guanrong The Graduate School of Information Science and Technology Osaka University Osaka Suita565-0871 Japan The Department of Computer Science National Yang Ming Chiao Tung University Hsinchu300 Taiwan The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China The Department of Electrical Engineering City University of Hong Kong Hong Kong

Network robustness is critical for various industrial and social networks against malicious attacks, which has various meanings in different research contexts and here it refers to the ability of a network to sustain its functionality when a fraction of the network fail to work due to attacks. The rapid development of complex networks research indicates special interest and great concern about the network robustness, which is essential for further analyzing and optimizing network structures towards engineering applications. This comprehensive survey distills the important findings and developments of network robustness research, focusing on the a posteriori structural robustness measures for single-layer static networks. Specifically, the a posteriori robustness measures are reviewed from four perspectives: 1) network functionality, including connectivity, controllability and communication ability, as well as their extensions;2) malicious attacks, including conventional and computation-based attack strategies;3) robustness estimation methods using either analytical approximation or machine learning-based prediction;4) network robustness optimization. Based on the existing measures, a practical threshold of network destruction is introduced, with the suggestion that network robustness should be measured only before reaching the threshold of destruction. Then, a posteriori and a priori measures are compared experimentally, revealing the advantages of the a posteriori measures. Finally, prospective research directions with respect to a posteriori robustness measures are recommended. © 2023, CC BY.

关键词： Complex networks

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Interfacial spintronic THz emission

arXiv

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arXiv 2023年

作者： Agarwal, Piyush Medwal, Rohit Dongol, Keynesh Mohan, John Rex Yang, Yingshu Asada, Hironori Fukuma, Yasuhiro Singh, Ranjan Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore Center for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University Singapore639798 Singapore Department of Physics Indian Institute of Technology Uttar Pradesh Kanpur208016 India Department of Electronic Devices and Engineering Graduate School of Science and Engineering Yamaguchi University Ube755-8611 Japan Department of Physics and Information Technology Faculty of Computer Science and System Engineering Kyushu Institute of Technology Iizuka820-8502 Japan

The broken inversion symmetry at the ferromagnet (FM)/heavy-metal (HM) interface leads to spin-dependent degeneracy of the energy band, forming spin-polarized surface states. As a result, the interface serves as an effective medium for converting spin accumulation into two-dimensional charge current through the inverse Rashba-Edelstein effect. Exploring and assessing this spin-to-charge conversion (SCC) phenomenon at the FM/HM interface could offer a promising avenue to surpass the presumed limits of SCC in bulk HM layers. We utilize spintronic heterostructures as a platform to measure the spin-to-charge conversion (SCC) experienced by photoexcited spin currents. These heterostructures emit terahertz electric field when illuminated by femtosecond laser pulses, enabling us to quantitatively assess the ultrafast SCC process. Our results demonstrate a robust interfacial spin-to-charge conversion (iSCC) within a synthetic antiferromagnetic heterostructure, specifically for the NiFe/Ru/NiFe configuration, by isolating the SCC contribution originating from the interface itself, separate from the bulk heavy-metal (HM) region. Moreover, the iSCC at the NiFe/Ru interface is discovered to be approximately 27% of the strength observed in the highest spin-Hall conducting heavy-metal, Pt. Our results thus highlight the significance of interfacial engineering as a promising pathway for achieving efficient ultrafast spintronic devices. Copyright © 2023, The Authors. All rights reserved.

关键词： Electric fields

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Phyllotaxis-inspired nanosieves with multiplexed orbital angular momentum

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eLight 2021年第1期1卷 46-56页

作者： Zhongwei Jin David Janoschka Junhong Deng Lin Ge Pascal Dreher Bettina Frank Guangwei Hu Jincheng Ni Yuanjie Yang Jing Li Changyuan Yu Dangyuan Lei Guixin Li Shumin Xiao Shengtao Mei Harald Giessen Frank Meyer zu Heringdorf Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117583Singapore College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Faculty of Physics and Center for Nanointegration Duisburg-Essen(CENIDE) University of Duisburg-EssenLotharstrasse 1-2147057 DuisburgGermany Department of Materials Science and Engineering Shenzhen Institute for Quantum Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Beijing Qianjunyide Technology Co.Ltd Beijing 100031China. Physics Institute and Stuttgart Center of Photonics Engineering(SCoPE) University of Stuttgart70569 Stutt-gartGermany. School of Physics University of ElectronicScience and Technology of ChinaChengdu 611731China. Key Laboratory of Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China. Department of Electronic and Information Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARChina. Department of Materials Science and Engineering City University of Hong Kong83 Tat Chee AvenueKowloonHong Kong SARChina. State Key Laboratory On Tunable Laser Technology Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information SystemShenzhen Graduate SchoolHarbin Institute of TechnologyShenzhen 518055China.

Nanophotonic platforms such as metasurfaces,achieving arbitrary phase profiles within ultrathin thickness,emerge as miniaturized,ultracompact and kaleidoscopic optical vortex ***,it is often required to segment or interleave independent sub-array metasurfaces to multiplex optical vortices in a single nano-device,which in turn affects the device’s compactness and channel ***,inspired by phyllotaxis patterns in pine cones and sunflowers,we theoretically prove and experimentally report that multiple optical vortices can be produced in a single compact phyllotaxis nanosieve,both in free space and on a chip,where one meta-atom may contribute to many vortices *** time-resolved dynamics of on-chip interference wavefronts between multiple plasmonic vortices was revealed by ultrafast time-resolved photoemission electron *** nature-inspired optical vortex generator would facilitate various vortex-related optical applications,including structured wavefront shaping,free-space and plasmonic vortices,and high-capacity information metaphotonics.

关键词： Phyllotaxis vortex nanosieve Free-space Plasmonic vortices Ultrafast time-resolved

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Biological neurons act as generalization filters in reservoir computing

arXiv

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arXiv 2022年

作者： Sumi, Takuma Yamamoto, Hideaki Katori, Yuichi Moriya, Satoshi Konno, Tomohiro Sato, Shigeo Hirano-Iwata, Ayumi Tohoku University Sendai980-8577 Japan Graduate School of Biomedical Engineering Tohoku University Sendai980-8577 Japan Graduate School of System Information Science Future University Hakodate Hokkaido041-8655 Japan Institute of Industrial Science The University of Tokyo Tokyo153-8505 Japan Graduate School of Pharmaceutical Sciences Tohoku University Sendai980-8578 Japan Tohoku University Sendai980-8577 Japan

Reservoir computing is a machine learning paradigm that transforms the transient dynamics of high-dimensional nonlinear systems for processing time-series data. Although the paradigm was initially proposed to model information processing in the mammalian cortex, it remains unclear how the non-random network architecture, such as the modular architecture, in the cortex integrates with the biophysics of living neurons to characterize the function of biological neuronal networks (BNNs). Here, we used optogenetics and fluorescent calcium imaging to record the multicellular responses of cultured BNNs and employed the reservoir computing framework to decode their computational capabilities. Micropatterned substrates were used to embed the modular architecture in the BNNs. We first show that modular BNNs can be used to classify static input patterns with a linear decoder and that the modularity of the BNNs positively correlates with the classification accuracy. We then used a timer task to verify that BNNs possess a short-term memory of ~1 s and finally show that this property can be exploited for spoken digit classification. Interestingly, BNN-based reservoirs allow transfer learning, wherein a network trained on one dataset can be used to classify separate datasets of the same category. Such classification was not possible when the input patterns were directly decoded by a linear decoder, suggesting that BNNs act as a generalization filter to improve reservoir computing performance. Our findings pave the way toward a mechanistic understanding of information processing within BNNs and, simultaneously, build future expectations toward the realization of physical reservoir computing systems based on BNNs. Copyright © 2022, The Authors. All rights reserved.

关键词： Network architecture

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Carrier Conversion from 100-GHz THz Wave to Dual-Wavelength Optical Carrier Injection-Locked to Optical Comb Modes Using Electro-Optical Polymer Modulator for Photonic THz Detection

Carrier Conversion from 100-GHz THz Wave to Dual-Wavelength ...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Y. Matsumura E. Hase Y. Tokizane J. Fujikata H. Kishikawa M. Haraguchi Y. Okamura T. Kaji A. Otomo A. Kanno S. Hisatake N. Kuse T. Yasui Graduate School of Sciences and Technology for Innovation Tokushima University Tokushima Japan Institute of Post-LED Photonics (pLED) Tokushima University Tokushima Japan Graduate School of Technology Industrial and Social Sciences Tokushima University Tokushima Japan National Institute of Information and Communications Technology Tokyo Japan Department of Electrical and Mechanical Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya Japan Electrical and Energy System Engineering Division Gifu University Gifu Japan PRESTO Japan Science and Technology Agency Saitama Japan

Photonic THz detection is a key in next-generation wireless communication (6G) to go beyond the upper frequency limit of existing wireless electronics. We present THz-to-optical carrier conversion, enabling photonic T... 详细信息

ISBN: (纸本)9781957171258

关键词： Electrooptical modulators Laser light Optical signals Optical wireless communication Phase modulation Phase noise

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The Main Progress of Perovskite Solar Cells in 2020-2021

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Nano-Micro Letters 2021年第10期13卷 113-130页

作者： Tianhao Wu Zhenzhen Qin Yanbo Wang Yongzhen Wu Wei Chen Shufang Zhang Molang Cai Songyuan Dai Jing Zhang Jian Liu Zhongmin Zhou Xiao Liu Hiroshi Segawa Hairen Tan Qunwei Tang Junfeng Fang Yaowen Li Liming Ding Zhijun Ning Yabing Qi Yiqiang Zhang Liyuan Han State Key Laboratory of Metal Matrix Composites School of Material Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Centre Shanghai Key Laboratory of Functional Materials ChemistryJoint International Research Laboratory of Precision Chemistry and Molecular EngineeringSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyMeilong Road 130Shanghai 200237People’s Republic of China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyLuoyu Road 1037Wuhan 430074People’s Republic of China College of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094People’s Republic of China Beijing Key Laboratory of Novel Thin-Film Solar Cells and State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power UniversityBeijing 102206People’s Republic of China Department of Microelectronic Science and Engineering Ningbo UniversityZhejiang 315211People’s Republic of China College of Chemical Engineering Jiangsu Key Lab of Biomass-Based Green Fuels and ChemicalsNanjing Forestry UniversityNanjing 210037People’s Republic of China College of Chemistry and Molecular Engineering Qingdao University of Science and TechnologyQingdao 266042People’s Republic of China Special Division of Environmental and Energy Science Komaba Organization for Educational Excellence(KOMEX)College of Arts and SciencesUniversity of TokyoTokyo 153-8902Japan National Laboratory of Solid State Microstructures Jiangsu Key Laboratory of Artificial Functional MaterialsCollege of Engineering and Applied SciencesNanjing UniversityNanjing 210093People’s Republic of China College of Information Science and Technology Jinan UniversityGuangzhou 510632People’s Republic of China School of Physics and Electronic Science Engineering Research Center of Nan

Perovskite solar cells(PSCs)emerging as a promising photovoltaic technology with high efficiency and low manufacturing cost have attracted the attention from all over the *** the efficiency and stability of PSCs have increased steadily in recent years,and the research on reducing lead leakage and developing eco-friendly lead-free perovskites pushes forward the commercialization of PSCs step by *** review summarizes the main progress of PSCs in 2020 and 2021 from the aspects of efficiency,stability,perovskite-based tandem devices,and lead-free ***,a brief discussion on the development of PSC modules and its challenges toward practical application is provided.

关键词： Perovskite solar cells Stability Solar module Perovskite-based tandem devices Lead-free perovskite

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