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Waveguide-integrated twisted bilayer graphene photodetectors (vol 15, 3688, 2024)

NATURE COMMUNICATIONS 2024年第1期15卷 3688页

作者： Wu, Qinci Qian, Jun Wang, Yuechen Xing, Luwen Wei, Ziyi Gao, Xin Li, Yurui Liu, Zhongfan Liu, Hongtao Shu, Haowen Yin, Jianbo Wang, Xingjun Peng, Hailin Peking University Center for Nanochemistry Beijing Science and Engineering Center for Nanocarbons Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular Engineering Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Beijing Graphene Institute Beijing P. R. China (GRID:grid.510905.8) Peking University Center for Nanochemistry Beijing Science and Engineering Center for Nanocarbons Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular Engineering Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Beijing Graphene Institute Beijing P. R. China (GRID:grid.510905.8) Peking University Academy for Advanced Interdisciplinary Studies Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Peking University State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Peking University School of Engineering Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Peking University State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Beijing Graphene Institute Beijing P. R. China (GRID:grid.510905.8) Peking University Academy for Advanced Interdisciplinary Studies Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Peking University Center for Nanochemistry Beijing Science and Engineering Center for Nanocarbons Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular Engineering Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Beijing Graphene Institute Beijing P. R. China (GRID:grid.510905.8) Peking University Academy for Advanced Interdisciplinary Studies Beijing P. R. China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) Peking University State Key Laboratory of Advanced Optical Com

Graphene photodetectors have exhibited high bandwidth and capability of being integrated with silicon photonics (SiPh), holding promise for future optical communication devices. However, they usually suffer from a low photoresponsivity due to weak optical absorption. In this work, we have implemented SiPh-integrated twisted bilayer graphene (tBLG) detectors and reported a responsivity of 0.65 A W–1 for telecom wavelength 1,550 nm. The high responsivity enables a 3-dB bandwidth of >65 GHz and a high data stream rate of 50 Gbit s–1. Such high responsivity is attributed to the enhanced optical absorption, which is facilitated by van Hove singularities in the band structure of high-mobility tBLG with 4.1o twist angle. The uniform performance of the fabricated photodetector arrays demonstrates a fascinating prospect of large-area tBLG as a material candidate for heterogeneous integration with ***-integrated graphene photodetectors exhibit promising bandwidths at telecom wavelengths, but their responsivity is usually limited. Here, the authors report the wafer-scale fabrication of waveguide-integrated detectors based on twisted bilayer graphene, showing responsivities up to 0.65 A/W and 3-dB bandwidths >65 GHz.

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Optimization of metal belt continuously variable transmission pulley based on multi-island genetic algorithm

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IOP Conference Series: Materials Science and Engineering 2019年第3期612卷

作者： Jianfei Cheng Hangyang Li Bing Fu Feitie Zhang Yunshan Zhou State Key Laboratory of Advanced Design and Manufacture for Vehicle Body Hunan University Changsha 410082 China School of Mechanical Engineering Hunan Xiangtan University Hu'nan Xiangtan 411105 China Hunan Provincial Key Laboratory of Vehicle Power and Transmission System Hu'nan Xiangtan 411104 China

The efficiency of metal belt CVT is an important index to evaluate its transmission performance, and the greater the axial deformation of the pulley, the greater the efficiency loss. In this paper, the deformation of pulley under different passive pressures is measured by experiment, and the reliability of the optimized 3D CAD model is verified by comparing with the data of the simulation model. And based on multi Island genetic algorithm (MIGA), using ISIGHT to integrate CATIA and ABAQUS, and the maximum stress is used as the constraint condition, penalty function integrate pulley deformation, mass and moment of inertia of the smallest to construct single objective function to optimize a CAD model, finally the test sample analysis verify the reliability of the optimization results. Research results show that, the optimized pulley mass was reduced by 16.96% and the inertia was reduced by 11.7%. Comparing the axial deformation of different speed ratios of the pulley, the deformation is smaller than that before the optimization, laid the foundation for the study of pulley transmission efficiency.

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Preface

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Fuel Processing Technology 2010年第8期91卷 799-799页

作者： Guangwen Xu Chun-Zhu Li Kinya Sakanishi State Key Laboratory of Multiphase Complex System Institute of Process Engineering Chinese Academy of Sciences China Curtin Centre for Advanced Energy Science and Engineering Curtin University of Technology Australia Biomass Technology Research Center National Institute of Advanced Industrial Science and Technology Japan

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Investigating Electronic Properties of Topologically Connected Colloidal Quantum Dots

SSRN

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SSRN 2024年

作者： Liu, Jingjing Qin, Yilu Huang, Xinning Shang, Jiale Lin, Tie Guo, Tianle Wang, Jianlu Chu, Junhao State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences 500 Yu Tian Road Shanghai200083 China School of Physical Science and Technology Shanghai Tech University 393 Middle Huaxia Road Shanghai201210 China Frontier Institute of Chip and System Institute of Optoelectronics Shanghai Frontier Base of Intelligent Optoelectronics and Perception Fudan University Shanghai200438 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Chinese Academy of Sciences Hangzhou330106 China Fudan University China

Topologically connected colloidal quantum dots (CQDs) are emerging as a novel platform for investigating quantum spin hall effects. In this work, we employ a 16-bands effective tight-binding model to compute the band structure of three distinct CQDs, namely PbSe, CdSe, and HgTe, each exhibiting three different superlattice configurations: honeycomb, close-packed, and square. Furthermore, we investigate the influence of quantum dot non-uniformity on the emergence of flat bands. Our computational findings reveal that all three CQDs in square superlattice exhibit nontrivial flat bands under high doping conditions at temperatures below 12K. © 2024, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

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Recent Advances in Triboelectric Nanogenerators: From Technological Progress to Commercial Applications

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ACS Nano 2023年第12期17卷 11087-11219页

作者： Choi, Dongwhi Lee, Younghoon Lin, Zong-Hong Cho, Sumin Kim, Miso Ao, Chi Kit Soh, Siowling Sohn, Changwan Jeong, Chang Kyu Lee, Jeongwan Lee, Minbaek Lee, Seungah Ryu, Jungho Parashar, Parag Cho, Yujang Ahn, Jaewan Kim, Il-Doo Jiang, Feng Lee, Pooi See Khandelwal, Gaurav Kim, Sang-Jae Kim, Hyun Soo Song, Hyun-Cheol Kim, Minje Nah, Junghyo Kim, Wook Menge, Habtamu Gebeyehu Park, Yong Tae Xu, Wei Hao, Jianhua Park, Hyosik Lee, Ju-Hyuck Lee, Dong-Min Kim, Sang-Woo Park, Ji Young Zhang, Haixia Zi, Yunlong Guo, Ru Cheng, Jia Yang, Ze Xie, Yannan Lee, Sangmin Chung, Jihoon Oh, Il-Kwon Kim, Ji-Seok Cheng, Tinghai Gao, Qi Cheng, Gang Gu, Guangqin Shim, Minseob Jung, Jeehoon Yun, Changwoo Zhang, Chi Liu, Guoxu Chen, Yufeng Kim, Suhan Chen, Xiangyu Hu, Jun Pu, Xiong Guo, Zi Hao Wang, Xudong Chen, Jun Xiao, Xiao Xie, Xing Jarin, Mourin Zhang, Hulin Lai, Ying-Chih He, Tianyiyi Kim, Hakjeong Park, Inkyu Ahn, Junseong Huynh, Nghia Dinh Yang, Ya Wang, Zhong Lin Baik, Jeong Min Choi, Dukhyun Kyung Hee University Gyeonggi Yongin17104 Korea Republic of Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Mechanical Engineering Soft Robotics Research Center Seoul National University Seoul08826 Korea Republic of Department of Mechanical Engineering Gachon University Seongnam13120 Korea Republic of Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Hsinchu30013 Taiwan School of Advanced Materials Science & Engineering Sungkyunkwan University Suwon16419 Korea Republic of Sungkyunkwan University 2066 Seobu-ro Gyeonggi Suwon16419 Korea Republic of Department of Chemical and Biomolecular Engineering National University of Singapore 4 Engineering Drive 4 117585 Singapore Division of Advanced Materials Engineering Jeonbuk National University 567 Baekje-daero Jeonbuk Jeonju54896 Korea Republic of Jeonbuk National University 567 Baekje-daero Jeonbuk Jeonju54896 Korea Republic of Department of Physics Inha University 100 Inha-ro Incheon22212 Korea Republic of School of Materials Science & Engineering Yeungnam University Gyeongbuk Gyeongsan38541 Korea Republic of 291 Daehak-ro Daejeon34141 Korea Republic of School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Institute of Flexible Electronics Technology of Tsinghua Zhejiang Jiaxing314000 China Nanomaterials and System Lab Major of Mechatronics Engineering Faculty of Applied Energy System Jeju National University Jeju632-43 Korea Republic of School of Engineering University of Glasgow GlasgowG128QQ United Kingdom Seoul02792 Korea Republic of Department of Physics Inha University Incheon22212 Korea Republic of Suwon16419 Korea Republic of Department of

Serious climate changes and energy-related environmental problems are currently critical issues in the world. In order to reduce carbon emissions and save our environment, renewable energy harvesting technologies will serve as a key solution in the near future. Among them, triboelectric nanogenerators (TENGs), which is one of the most promising mechanical energy harvesters by means of contact electrification phenomenon, are explosively developing due to abundant wasting mechanical energy sources and a number of superior advantages in a wide availability and selection of materials, relatively simple device configurations, and low-cost processing. Significant experimental and theoretical efforts have been achieved toward understanding fundamental behaviors and a wide range of demonstrations since its report in 2012. As a result, considerable technological advancement has been exhibited and it advances the timeline of achievement in the proposed roadmap. Now, the technology has reached the stage of prototype development with verification of performance beyond the lab scale environment toward its commercialization. In this review, distinguished authors in the world worked together to summarize the state of the art in theory, materials, devices, systems, circuits, and applications in TENG fields. The great research achievements of researchers in this field around the world over the past decade are expected to play a major role in coming to fruition of unexpectedly accelerated technological advances over the next decade. © 2023 The Authors. Published by American Chemical Society

关键词： Nanogenerators

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Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach

arXiv

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arXiv 2024年

作者： Hu, Jia Lian, Zhexi Wang, Haoran Zhang, Zihan Qian, Ruoxi Li, Duo So, Jaehyun Zheng, Junnian Key Laboratory of Road and Traffic Engineering The Ministry of Education Tongji University No.4800 Cao’an Road Shanghai201804 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China Shanghai Motor Vehicle Inspection Certification and Tech Innovation Center Co. LTD 68 South Yutian Road Shanghai201805 China University College London 25 Gordon Street London United Kingdom Department of Civil and Geospatial Engineering Newcastle University Newcastle upon TyneNE1 7RU United Kingdom The Department of Transportation System Engineering Ajou University Gyeonggi Suwon16499 Korea Republic of Co. Ltd. No.488 Anchi Rd Shanghai201805 China

The current Adaptive Cruise Control (ACC) systems are vulnerable to "road bully" such as cut-ins. This paper proposed an Anti-bullying Adaptive Cruise Control (AACC) approach with proactive right-of-way protection ability. It bears the following features: i) with the enhanced capability of preventing bullying from cut-ins;ii) optimal but not unsafe;iii) adaptive to various driving styles of cut-in vehicles;iv) with real-time field implementation capability. The proposed approach can identify other road users’ driving styles online and conduct game-based motion planning for right-of-way protection. A detailed investigation of the simulation results shows that the proposed approach can prevent bullying from cut-ins and be adaptive to different cut-in vehicles’ driving styles. The proposed approach is capable of enhancing travel efficiency by up to 29.55% under different cut-in gaps and can strengthen driving safety compared with the current ACC controller. The proposed approach is flexible and robust against traffic congestion levels. It can improve mobility by up to 11.93% and robustness by 8.74% in traffic flow. Furthermore, the proposed approach can support real-time field implementation by ensuring less than 50 milliseconds computation time. Copyright © 2024, The Authors. All rights reserved.

关键词： Traffic congestion

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Revealing and Inhibiting the Facet-related Ion Migration for Efficient and Stable Perovskite Solar Cells

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Angewandte Chemie 2024年第4期137卷

作者： Shujie Qu Hao Huang Jinhui Wang Peng Cui Yiyi Li Min Wang Liang Li Fu Yang Changxu Sun Qiang Zhang Pengkun Zhu Yi Wang Meicheng Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China These authors contributed equally Key Laboratory of Advanced Light Conversion Materials and Biophotonics School of Chemistry and Life Resources Institution Renmin University of China Beijing 100872 China

Ion migration is a major issue hindering the long-term stability of perovskite solar cells (PSCs). As an intrinsic characteristic of metal halide perovskite materials, ion migration is closely related to the atomic arrangement and coordination, which are the basic characteristic differences among various facets. Herein, we report the facet-related ion migration, and then achieve the inhibition of ion migration in perovskite through finely modulating the facet orientation. We show that the (100) facet is substantially more vulnerable to cationic migration than the (111) facet. The main reason for this difference in migration is that the cationic migration route in the (111) facet deviates from that in the (100) facet, which increases the active migration energy and weakens the contribution from the electric field during operation. We prepare a (111)-dominated perovskite film by incorporating a facile and green addition of water (H 2 O) into the antisolvent, further achieving a power conversion efficiency (PCE) of 26.0 % (25.4 % certification) on regular planar PSCs and 25.8 % on inverted PSCs. Moreover, the unencapsulated PSCs can maintain 95 % of their initial PCE after 3500-hours operation under simulated AM1.5 illumination at the maximum power point.

关键词： Perovskite solar cells ion migration crystal facet stability

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Corrigendum to“Magnesium cationic cue enriched interfacial tissue microenvironment nurtures the osseointegration of gamma-irradiated allograft bone”[***.10C(April 2022)32-47]

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Bioactive Materials 2023年第2期20卷 165-165页

作者： Wenhao Wang Jie Shen Yuan Meng Miaoman Ye Shaozhang Lin Qi Zhao Le Wang Kenneth M.C.Cheung Shuilin Wu Yufeng Zheng Xuanyong Liu Paul K.Chu Kelvin W.K.Yeung Zhi-Yong Zhang Translational Research Centre of Regenerative Medicine and 3D Printing of Guangzhou Medical University Guangdong Province Engineering Research Center for Biomedical EngineeringState Key Laboratory of Respiratory DiseaseThe Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510150PR China Department of Orthopaedics and Traumatology The University of Hong Kong999077Hong KongChina Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma The University of Hong Kong Shenzhen HospitalShenzhen518053PR China Department of Orthopaedic Surgery The Third Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510150PR China Shenzhen Key Laboratory of Spine Surgery Department of Spine SurgeryPeking University Shenzhen HospitalShenzhen518036PR China Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Key Laboratory of Polymer MaterialsSchool of Materials&EngineeringHubei UniversityWuhan430062PR China Ministry of Education Key Laboratory for Advanced Ceramics and Machining Technology School of Materials Science&EngineeringTianjin UniversityTianjin300352PR China State Key Laboratory for Turbulence and Complex System Department of Materials Science and EngineeringCollage of EngineeringPeking UniversityBeijing100871PR China State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai200050PR China Department of Materials Science and Engineering City University of Hong Kong999077Hong KongChina

The authors regret a mistake of funding numbers in the Acknowledgment Section failed to be corrected during proof *** is the corrected funding statement in Acknowledgment SECTION This work was supported by the National Natural Science Foundation of China(NSFC)(Nos.81902189,81772354,82002303,31570980),Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong laboratory(2018GZR0201002),National key Research and Development Plan(2018YFC1105103).

关键词： NSFC statement enriched

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Deep Learning-Based Object Pose Estimation: A Comprehensive Survey

arXiv

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arXiv 2024年

作者： Liu, Jian Sun, Wei Yang, Hui Zeng, Zhiwen Liu, Chongpei Zheng, Jin Liu, Xingyu Rahmani, Hossein Sebe, Nicu Mian, Ajmal The National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China The School of Architecture and Art Central South University Changsha410082 China The Department of Automation Tsinghua University Beijing100084 China The School of Computing and Communications Lancaster University LA1 4YW United Kingdom The Department of Information Engineering and Computer Science University of Trento Trento38123 Italy The Department of Computer Science The University of Western Australia WA6009 Australia

Object pose estimation is a fundamental computer vision problem with broad applications in augmented reality and robotics. Over the past decade, deep learning models, due to their superior accuracy and robustness, have increasingly supplanted conventional algorithms reliant on engineered point pair features. Nevertheless, several challenges persist in contemporary methods, including their dependency on labeled training data, model compactness, robustness under challenging conditions, and their ability to generalize to novel unseen objects. A recent survey discussing the progress made on different aspects of this area, outstanding challenges, and promising future directions, is missing. To fill this gap, we discuss the recent advances in deep learning-based object pose estimation, covering all three formulations of the problem, i.e., instance-level, category-level, and unseen object pose estimation. Our survey also covers multiple input data modalities, degrees-of-freedom of output poses, object properties, and downstream tasks, providing the readers with a holistic understanding of this field. Additionally, it discusses training paradigms of different domains, inference modes, application areas, evaluation metrics, and benchmark datasets, as well as reports the performance of current state-of-the-art methods on these benchmarks, thereby facilitating the readers in selecting the most suitable method for their application. Finally, the survey identifies key challenges, reviews the prevailing trends along with their pros and cons, and identifies promising directions for future research. We also keep tracing the latest works at Awesome-Object-Pose-Estimation. Copyright © 2024, The Authors. All rights reserved.

关键词： Benchmarking

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Amorphous alloys surpass E/10 strength limit at extreme strain rates

arXiv

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arXiv 2021年

作者： Zhu, Wenqing Li, Zhi Shu, Hua Gao, Huajian Wei, Xiaoding State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering Science College of Engineering Peking University Beijing100871 China School of Mechanical and Aerospace Engineering College of Engineering Nanyang Technological University 70 Nanyang Drive 637457 Singapore Shanghai Institute of Laser Plasma China Academy of Engineering Physics Shanghai201102 China Institute of High Performance Computing A*STAR 138632 Singapore Beijing Innovation Center for Engineering Science and Advanced Technology Peking University Beijing100871 China Peking University Nanchang Innovation Institute Nanchang330000 China

Theoretical predictions of the ideal strength of materials range from E/30 to E/10 (E is Young’s modulus). However, despite intense interest over the last decade, the value of the ideal strength that can be attained experimentally for metals remains a mystery (1-5). In this study, we demonstrated the unprecedented strength of an amorphous Cu-Zr alloy that surpassed the E/10 limit. Laser-induced shock experiments were conducted on Cu50Zr50 to explore its strength and failure mechanisms at ultrahigh strain rates. The material demonstrated a high spall strength of 9.8 GPa, approximately 1/13 of its P-wave modulus (~ E/6), at strain rates greater than 107 s−1, which sets a new record for the elastic limit of metallic materials. Electron microscopy and large-scale molecular dynamics simulations revealed that void nucleation and growth, not shear-banding, comprised the major failure mechanism for metallic glasses at extremely fast strain rates. A new model for void formation under the control of surface energy explained the rate dependence of the material strength. The results of this study reveal new possible ways to use the amorphous phase in nanostructured metals in future applications under demanding mechanical conditions. Copyright © 2021, The Authors. All rights reserved.

关键词： Copper alloys

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