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Nanoscale phase management of the 2D/3D heterostructure toward efficient perovskite solar cells

Science Bulletin 2024年第18期69卷 2853-2861页

作者： Hao Gu Annan Zhu Junmin Xia Wang Li Jiahao Zheng Tao Yang Shengwen Li Nan Zhang Shiliang Mei Yongqing Cai Shi Chen Chao Liang Guichuan Xing Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoMacao 999078China 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)Nanjing 210023China MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of PhysicsNational Innovation Platform(Center)for Industry-Education Integration of Energy Storage TechnologyXi’an Jiaotong UniversityXi’an 710049China 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 SystemsHarbin Institute of TechnologyShenzhen 518055China Institute for Electric Light Sources School of Information Science and TechnologyFudan UniversityShanghai 200433China

The stabilization of the formamidinium lead iodide(FAPbI_(3))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 FAPbI_(3) and 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 FAPbI_(3),has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with=1 and 2 Ruddlesden-Popper(RP)perovskite layers,respectively,which form a type-Ⅱ 2D/3D *** heterostructure stabilizes the a-phase of FAPbI_(3),and facilitates ultrafast carrier extraction from the 3D perovskite network to transport contact *** introduced tri-fluorinated ligands to mitigate defects caused by the halide vacancies and uncoordinated Pb^(2+)ions,thereby reducing nonradiative carrier recombination and extending carrier *** films produced were incorporated into PSCs that not only achieved a PCE of 25.39%but also maintained 95%of their initial efficiency after 2000 h of continuous light exposure without *** findings underscore the effectiveness of a phase-pure 2D/3D heterostructure-terminated film in inhibiting phase transitions passivating the iodide anion vacancy defects,facilitating the charge carrier extraction,and boosting the performance of optoelectronic devices.

关键词： Phase-pure 2D perovskite 2D/3D heterostructure Type-II energy alignment Carrier dynamic FAPbI_(3)

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A Contactless Magnetic Frequency-Boosting Mechanism for Wind Energy Harvesting

A Contactless Magnetic Frequency-Boosting Mechanism for Wind...

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Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

作者： Yunfei Li Manjuan Huang Tianyi Tang Heng Zhao Lining Sun Huicong Liu State Key Laboratory of Robotics and System Harbin Institute of Technology (HIT) CHINA School of Mechanical and Electric Engineering Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University CHINA

ISBN: (数字)9798350380200

ISBN: (纸本)9798350380217

This paper presents a non-contact magnetic frequency-boosting wind energy harvester suitable for low wind speed environments, designed to power various IoT sensors. The device comprises a driving component, a driven component, and a stator component. These components work together to convert low-speed rotational motion caused by wind into high-speed rotational motion, thereby achieving high-power electromagnetic energy output. Performance tests have shown that the output voltage increases with wind speed, reaching a peak voltage of 27V and a peak power of 1.6W at a wind speed of 10 m/s. The device has successfully powered LED bulbs and Bluetooth sensors, demonstrating its practicality for real-time environmental monitoring applications.

关键词： Temperature sensors Wind energy Wind speed Magnetic sensors Voltage Stators Sensor systems Environmental monitoring Electromagnetics Power generation

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Effect of filament winding process parameters on interlaminar performance for CF/PP thermoplastic composite 4

Effect of filament winding process parameters on interlamina...

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4th International Conference on Graphene and Novel Nanomaterials, GNN 2022

作者： Chang, C. Geng, H.B. Feng, Y. Han, Z.Y. Sun, S.Z. State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Inner Mongolia Aerospace Honggang Machinery Corporation Limited Hohhot010020 China Wuhu Robot Technology Research Institute Harbin Institute of Technology Wuhu241000 China

This paper focuses on the in-situ consolidation process of thermoplastic composites by winding, aiming to explore the influence of key process parameters on samples' quality. During the consolidation of thermoplastic composites, they need to go through resin melting-bonding-consolidation process, in which each parameter affects the interlaminar bond strength. Through preliminary simulation and experiments, the process parameters were selected. In this paper, wound NOL ring samples made of carbon fiber reinforced polypropylene thermoplastic composite prepregs were obtained with a hot gas assisted filament winding equipment. The influence rule of winding temperature, winding tension and winding speed on the interlaminar shear strength were analyzed based on response surface methodology. Through the analysis, in the range of the experiments winding tension and temperature had more effect on the shear strength while speed's influence was small. With the increase of tension and temperature, the interlaminar shear strength increased, but after reaching a certain value, the laminar shear strength decreased instead. © Published under licence by IOP Publishing Ltd.

关键词： Filament winding

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Research status and development trend of inspection robot for steam generator heat transfer tubes

Research status and development trend of inspection robot fo...

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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Zhang, Kuan Xu, Biying Xing, Zhenming Wang, Shuqi Zhao, Jie Fan, Jizhuang Harbin Institute of Technology State Key Laboratory of Robotics and System Heilongjiang Province Harbin City China

ISBN: (纸本)9781665436786

The steam generator is an important heat transfer equipment in nuclear power plant. Its main component is the tube sheet with thousands of U-shaped heat transfer tubes. The inspection robot repairs the heat transfer tubes by positioning various types of tools to the specific heat transfer pipe, greatly reducing human intervention in the nuclear environment. Based on a brief overview of the research status of inspection robots used in steam generators, the mechanical structure of the body, tube-holding mechanism, collision detection, and trajectory planning are analyzed, problems and challenges are summarized, and the future development trend is prospected. © 2021 IEEE.

关键词： Tubes (components)

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A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1778-1791页

作者： Ning Tan Peng Yu Zhiyan Zhong Fenglei Ni IEEE the School of Computer Science and Engineering&Key Laboratory of Machine Intelligence and Advanced Computing Ministry of EducationSun Yat-sen UniversityGuangzhou 510006China the School of Automation Guangdong Polytechnic Normal UniversityGuangzhou 510665China the State Key Laboratory of Robotics and Systems Harbin Institute of Technology(HIT)Harbin 150080China

Taking advantage of their inherent dexterity,robotic arms are competent in completing many tasks *** a result of the modeling complexity and kinematic uncertainty of robotic arms,model-free control paradigm has been proposed and investigated ***,robust model-free control of robotic arms in the presence of noise interference remains a problem worth *** this paper,we first propose a new kind of zeroing neural network(ZNN),i.e.,integration-enhanced noise-tolerant ZNN(IENT-ZNN)with integration-enhanced noisetolerant ***,a unified dual IENT-ZNN scheme based on the proposed IENT-ZNN is presented for the kinematic control problem of both rigid-link and continuum robotic arms,which improves the performance of robotic arms with the disturbance of noise,without knowing the structural parameters of the robotic *** finite-time convergence and robustness of the proposed control scheme are proven by theoretical ***,simulation studies and experimental demonstrations verify that the proposed control scheme is feasible in the kinematic control of different robotic arms and can achieve better results in terms of accuracy and robustness.

关键词： Dual zeroing neural networks(ZNN) finite-time convergence model-free robot control robustness analysis

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RGBD Navigation: A 2D navigation framework for visual SLAM with pose compensation

RGBD Navigation: A 2D navigation framework for visual SLAM w...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Teng Zhang Pengfei Wang Fusheng Zha Wei Guo Mantian Li The State Key Laboratory of Robotics Harbin Institute of Technology Harbin China

The breakthrough in SLAM(Simultaneous Localization and Mapping) technology has greatly driven the development of robot navigation. Currently, LiDAR navigation based on the development of LiDAR SLAM and ROS navigation stack is very mature. However, due to the inability of open-source vSLAM(visual Simultaneous Localization and Mapping) and VO(Visual Odometry) to establish dense maps suitable for navigation, poor adaptability of visual information to ROS navigation stack, and map positioning problems caused by sensor characteristics, the development of visual navigation faces difficulties. To address the above three issues, this work provides a framework called RGBD Navigation, which utilizes RGBD sensors to achieve vision-based navigation for robots. This framework establishes a dense point cloud map based on the pose information provided by vSLAM/VO, depth images and RGB images, and converts it into a 2D occupancy grid map. And, convert the depth image into two-dimensional laserscan information. Finally, establish a "map-to-odom" positioning node based on the pose provided by SLAM/VO to achieve robot positioning on the map. This framework solves the three main problems of visual sensor adaptation to the ROS Navigation stack, and achieves the establishment of a vision-based 2D navigation system.

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Full Resolution Repetition Counting

arXiv

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arXiv 2023年

作者： Li, Jianing Chen, Bowen Wang, Zhiyong Liu, Honghai School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen State Key Laboratory of Robotics and System Harbin Institute of Technology China

Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive actions, also optimization challenges in end-to-end video model training, down-sampling is commonly utilized in recent state-of-the-art methods, leading to ignorance of several repetitive samples. In this paper, we attempt to understand repetitive actions from a full temporal resolution view, by combining offline feature extraction and temporal convolution networks. The former step enables us to train repetition counting network without down-sampling while preserving all repetition regardless of the video length and action frequency, and the later network models all frames in a flexible and dynamically expanding temporal receptive field to retrieve all repetitions with a global aspect. We experimentally demonstrate that our method achieves better or comparable performance in three public datasets, i.e., TransRAC, UCFRep and QUVA. We expect this work will encourage our community to think about the importance of full temporal *** Codes 68 © 2023, CC BY-NC-ND.

关键词： Convolution

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RockTrack: A 3D Robust Multi-Camera-Ken Multi-Object Tracking Framework

arXiv

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arXiv 2024年

作者： Li, Xiaoyu Li, Peidong Zhao, Lijun Liu, Dedong Gao, Jinghan Wu, Xian Wu, Yitao Cui, Dixiao State Key Laboratory of Robotics and Systems Harbin Institute of Technology China Zhijia Technology China

3D Multi-Object Tracking (MOT) obtains significant performance improvements with the rapid advancements in 3D object detection, particularly in cost-effective multi-camera setups. However, the prevalent end-to-end training approach for multi-camera trackers results in detector-specific models, limiting their versatility. Moreover, current generic trackers overlook the unique features of multi-camera detectors, i.e., the unreliability of motion observations and the feasibility of visual information. To address these challenges, we propose RockTrack, a 3D MOT method for multi-camera detectors. Following the Tracking-By-Detection framework, RockTrack is compatible with various off-the-shelf detectors. RockTrack incorporates a confidence-guided preprocessing module to extract reliable motion and image observations from distinct representation spaces from a single detector. These observations are then fused in an association module that leverages geometric and appearance cues to minimize mismatches. The resulting matches are propagated through a staged estimation process, forming the basis for heuristic noise modeling. Additionally, we introduce a novel appearance similarity metric for explicitly characterizing object affinities in multi-camera settings. RockTrack achieves state-of-the-art performance on the nuScenes vision-only tracking leaderboard with 59.1% AMOTA while demonstrating impressive computational efficiency. © 2024, CC BY-NC-SA.

关键词： Object detection

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A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network

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Computers, Materials & Continua 2023年第11期77卷 2271-2287页

作者： Liwei Deng Henan Sun Jing Wang Sijuan Huang Xin Yang Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration School of AutomationHarbin University of Science and TechnologyHarbin150080China Institute for Brain Research and Rehabilitation South China Normal UniversityGuangzhou510631China Department of Radiation Oncology Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou510060China

In recent years,radiotherapy based only on Magnetic Resonance(MR)images has become a hot spot for radiotherapy planning research in the current medical ***,functional computed tomography(CT)is still needed for dose calculation in the *** deep-learning approaches to synthesized CT images from MR images have raised much research interest,making radiotherapy based only on MR images *** this paper,we proposed a novel unsupervised image synthesis framework with registration *** paper aims to enforce the constraints between the reconstructed image and the input image by registering the reconstructed image with the input image and registering the cycle-consistent image with the input ***,this paper added ConvNeXt blocks to the network and used large kernel convolutional layers to improve the network’s ability to extract *** research used the collected head and neck data of 180 patients with nasopharyngeal carcinoma to experiment and evaluate the training model with four evaluation *** the same time,this research made a quantitative comparison of several commonly used model *** evaluate the model performance in four evaluation metrics which achieve Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Peak Signal-to-Noise Ratio(PSNR),and Structural Similarity(SSIM)are 18.55±1.44,86.91±4.31,33.45±0.74 and 0.960±0.005,*** with other methods,MAE decreased by 2.17,RMSE decreased by 7.82,PSNR increased by 0.76,and SSIM increased by *** results show that the model proposed in this paper outperforms other methods in the quality of image *** work in this paper is of guiding significance to the study of MR-only radiotherapy planning.

关键词： MRI-CT image synthesis variational auto-encoder medical image translation MRI-only based radiotherapy

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Speed Fluctuation Suppression of Current Scaling Errors Based on Improved Iterative Learning Control Method

Speed Fluctuation Suppression of Current Scaling Errors Base...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Haoyi Mu Guodong Yu Shaobin Li Pengcheng Zhu Yongxiang Xu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin China

In recent years, there has been a growing demand for high-precision speed control of permanent magnet synchronous motor (PMSM), drawing significant attention to the issue of inherent current measurement errors in drive control. This paper presents a novel approach to mitigate periodic speed fluctuations using an expert system-based iterative learning control (ILC) method. The proposed method employs an expert system to dynamically adjust the weight values of the memory factor during online updates. This ensures the calculated relaxation factor optimally suppresses speed fluctuations across all operating conditions. Furthermore, the stability and parameter tuning aspects are analyzed from the perspective of transfer functions, and the feasibility of the proposed method is demonstrated through simulation.

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