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Unraveling Passivation Mechanism of Imidazolium-Based Ionic Liquids on Inorganic Perovskite to Achieve Near-Record-Efficiency CsPbI_(2)Br Solar Cells

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Nano-Micro Letters 2022年第1期14卷 152-166页

作者： Jie Xu Jian Cui Shaomin Yang Yu Han Xi Guo Yuhang Che Dongfang Xu Chenyang Duan Wenjing Zhao Kunpeng Guo Wanli Ma Baomin Xu Jianxi Yao Zhike Liu Shengzhong Liu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of EducationShaanxi Key Laboratory for Advanced Energy Devices/Shaanxi Engineering Lab for Advanced Energy TechnologySchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an 710119People’s Republic of China Dalian Institute of Chemical Physics iChEMUniversity of Chinese Academy of SciencesDalian National Laboratory for Clean EnergyChinese Academy of SciencesDalian 116023People’s Republic of China Ministry of Education Key Laboratory of Interface Science and Engineering in Advanced Materials Research Center of Advanced Materials Science and TechnologyTaiyuan University of TechnologyTaiyuan 030024People’s Republic of China Institute of Functional Nano&Soft Materials Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesJoint International Research Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123People’s Republic of China Department of Materials Science and Engineering and Shenzhen Engineering Research and Development Center for Flexible Solar Cells Southern University of Science and TechnologyShenzhen 518055People’s Republic of China State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power UniversityBeijing 102206People’s Republic of China

The application of ionic liquids in perovskite has attracted wide-spread attention for its astounding performance improvement of perovskite solar cells(PSCs).However,the detailed mechanisms behind the improvement remain ***,a series of imidazolium-based ionic liquids(IILs)with different cations and anions is systematically investigated to elucidate the passivation mechanism of IILs on inorganic *** is found that IILs display the following advantages:(1)They form ionic bonds with Cs^(+)and Pb^(2+)cations on the surface and at the grain boundaries of perovskite films,which could effectively heal/reduce the Cs^(+)/I−vacancies and Pb-related defects;(2)They serve as a bridge between the perovskite and the hole-transport-layer for effective charge extraction and transfer;and(3)They increase the hydrophobicity of the perovskite surface to further improve the stability of the CsPbI_(2)Br *** combination of the above effects results in suppressed non-radiative recombination loss in CsPbI_(2)Br PSCs and an impressive power conversion efficiency of 17.02%.Additionally,the CsPbI_(2)Br PSCs with IILs surface modification exhibited improved ambient and light illumination *** results provide guidance for an indepth understanding of the passivation mechanism of IILs in inorganic perovskites.

关键词： Ionic liquids Inorganic perovskite Imidazolium Passivation High efficiency

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DiagLLM: multimodal reasoning with large language model for explainable bearing fault diagnosis

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Science China(Information Sciences) 2025年第6期 41-55页

作者： Jie WANG Tianrui LI Yan YANG Shiqian CHEN Wanming ZHAI School of Computing and Artificial Intelligence Southwest Jiaotong University Engineering Research Center of Sustainable Urban Intelligent Transportation Ministry of Education State Key Laboratory of Rail Transit Vehicle System

Accurate and reliable bearing fault diagnosis is critical for ensuring the safe operation of mechanical *** data-driven methods encounter challenges in training advanced deep learning models, primarily due to the scarcity of fault data and inconsistencies in data distributions. Additionally, these methods often suffer from limited interpretability and reliability, as they lack constraint-guided learning based on the physical mechanisms underlying bearing failures, which hampers their utility in machine condition monitoring. Recent advancements in large language models(LLMs) demonstrate their potential to address these challenges. To this end, we aim to enhance the generalization and interpretability of bearing fault diagnosis by leveraging the capabilities of multimodal LLMs. Specifically, a novel framework called DiagLLM is designed to achieve this goal. DiagLLM leverages the powerful reasoning capabilities of large language models and incorporates contextual information from both envelope spectrum images and expert knowledge to accurately diagnose bearing faults. To effectively tune DiagLLM, diagnostic visual instruction-following data are constructed to link fault feature descriptions with signal characteristics, and the entire model is fine-tuned using a parameter-efficient training pipeline. Extensive experiments are conducted on two publicly available bearing fault diagnosis datasets, and the results show that DiagLLM outperforms leading baselines, particularly in scenarios with limited data and cross-data generalization.

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Chlorine-Substituent Regulation in Dopant-Free Small-Molecule Hole-Transport Materials Improves the Effi ciency and Stability of Inverted Perovskite Solar Cells

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Transactions of Tianjin University 2024年第4期30卷 314-323页

作者： Xinyi Liu Xiaoye Zhang Zhanfeng Li Jinbo Chen Yanting Tian Baoyou Liu Changfeng Si Gang Yue Hua Dong Zhaoxin Wu Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceTaiyuan University of TechnologyTaiyuan 030024China School of Electrical Engineering University of South ChinaHengyang 421001China College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China Ningxia Hui Autonomous Region Screen Display Organic Materials Engineering Technology Research Center Ningxia Sinostar Display Material Co.Ltd.Yinchuan 750003China Organic Semiconductor Centre EaStCHEM School of ChemistryUniversity of St AndrewsFife KY169STUK Key Laboratory of Photonics Technology for Information School of Electronic and Information Engineering Xi’an Jiaotong UniversityXi’an 710049China

Although doped hole-transport materials(HTMs)off er an effi ciency benefi t for perovskite solar cells(PSCs),they inevi-tably diminish the ***,we describe the use of various chlorinated small molecules,specifi cally fl uorenone-triphenylamine(FO-TPA)-x-Cl[x=para,meta,and ortho(p,m,and o)],with diff erent chlorine-substituent positions,as dopant-free HTMs for *** chlorinated molecules feature a symmetrical donor-acceptor-donor structure and ideal intramolecular charge transfer properties,allowing for self-doping and the establishment of built-in potentials for improving charge *** effi cient hole-transfer interfaces are constructed between perovskites and these HTMs by strategi-cally modifying the chlorine ***,the chlorinated HTM-derived inverted PSCs exhibited superior effi ciencies and air ***,the dopant-free HTM FO-TPA-o-Cl not only attains a power conversion effi ciency of 20.82% but also demonstrates exceptional stability,retaining 93.8%of its initial effi ciency even after a 30-day aging test conducted under ambient air conditions in PSCs without *** fi ndings underscore the critical role of chlorine-substituent regulation in HTMs in ensuring the formation and maintenance of effi cient and stable PSCs.

关键词： Hole-transport materials Inverted perovskite solar cells Chlorinated small molecules Donor–acceptor–donor structure

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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Spend More But Get Less: Unraveling the Causes of Bus Ridership Decline Using a Data-Driven Machine Learning Approach

SSRN

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SSRN 2024年

作者： Zhang, Yuliang Dong, Wentao Yu, Chengcheng Yang, Chao Intelligent Transportation System Research Center Hangzhou City University Hangzhou310015 China College of Transportation Engineering Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University 4800 Caoan Road Shanghai201804 China Urban Mobility Institute Tongji University 1239 Siping Road Shanghai200082 China Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University 4800 Caoan Road Shanghai201804 China

Bus ridership experiences a critical decline. However, the complex causal interactions that impact ridership haven't been well understood because the correlation analysis cannot handle the inherent causal relationship between the related variables. To address this gap, we propose a data-driven causal machine-learning framework employing empirical panel data from 197 cities in China before COVID-19, which allows us to explore the heterogeneous causal effects on ridership and its relevant factors, rather than just focusing on correlation relationships. Our results indicate that the potential gains in bus ridership may be cancelled by the negative causal effect of increasing income, the operation of urban rail transit, ride-hailing, and bike-sharing services. The heterogeneous causal effects and counterfactual inference results further reveal the diminishing marginal utility of improving bus services on regaining ridership and the increasing marginal utility of bus ridership decline due to the inevitable growth of income and private car ownership. Based on our causal analysis, we propose a policy matrix that suggests policy combinations for cities in different situations. © 2024, The Authors. All rights reserved.

关键词： Buses

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Multi-layer RIS on Edge: Communication, Computation and Wireless Power Transfer

arXiv

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arXiv 2025年

作者： Chen, Shuyi Jia, Junhong Zhang, Baoqing Hui, Yingzhe Qin, Yifan Meng, Weixiao Xu, Tianheng Communication Research Center The China-Chile ICT Belt and Road Joint Laboratory Harbin Institute of Technology China Beijing Institute of Electronic System Engineering China Ministry of Education Key Lab of In-fiber Integrated Optics Harbin Engineering University China Shanghai Advanced Research Institute Chinese Academy of Sciences China

The rapid expansion of Internet of Things (IoT) and its integration into various applications highlight the need for advanced communication, computation, and energy transfer techniques. However, the traditional hardware-based evolution of communication systems faces challenges due to excessive power consumption and prohibitive hardware cost. With the rapid advancement of reconfigurable intelligent surface (RIS), a new approach by parallel stacking a series of RIS, i.e., multilayer RIS, has been proposed. Benefiting from the characteristics of scalability, passivity, low cost, and enhanced computation capability, multi-layer RIS is a promising technology for future massive IoT scenarios. Thus, this article proposes a multi-layer RIS-based universal paradigm at the network edge, enabling three functions, i.e., multiple-input multiple-output (MIMO) communication, computation, and wireless power transfer (WPT). Starting by picturing the possible applications of multi-layer RIS, we explore the potential signal transmission links, energy transmission links, and computation processes in IoT scenarios, showing its ability to handle on-edge IoT tasks and associated green challenges. Then, these three key functions are analyzed respectively in detail, showing the advantages of the proposed scheme, compared with the traditional hardware-based scheme. To facilitate the implementation of this new paradigm into reality, we list the dominant future research directions at last, such as inter-layer channel modeling, resource allocation and scheduling, channel estimation, and edge training. It is anticipated that multi-layer RIS will contribute to more energy-efficient wireless networks in the future by introducing a revolutionary paradigm shift to an all-wave-based approach. © 2025, CC BY-NC-ND.

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Significant Wave Height Prediction Based on VMD-SA-MLP-BP

Significant Wave Height Prediction Based on VMD-SA-MLP-BP

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2023 China Automation Congress, CAC 2023

作者： Wu, Yining Zhang, Runfeng Liu, Fang Liu, Zhenzhong Wu, Jianguo Dong, Haonan School of Mechanical Engineering Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education China Yichang Research Institute of Testing Technology Yichang443003 China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin300457 China School of Computer Science and Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9798350303759

Waves seriously impact port construction, worldwide route planning, military activities, and wave power generation. To improve the accuracy of significant wave height prediction, we proposed a novel prediction method, a multi-layer perceptron combined with a backpropagation adjustment (MLP-BP) prediction model that combines mutation mode decomposition (VMD) and a simulated annealing optimization algorithm (SA). Firstly, we use the variable modulus method to decompose the significant wave height sequence data and transform the wave height sequence into multiple different sub-modes (IMF) to reduce the complexity and non-stationarity of the data. Secondly, the simulated annealing algorithm (SA) is used to optimize the weight and bias of the MLP-BP neural network to find the optimal parameter configuration and improve the performance and generalization ability of the prediction model. Finally, the decomposed sub-modal components of each significant wave height sequence are inserted into the MLP-BP neural network and the predicted values of each element are summed to obtain the final significant wave height prediction. The prediction results of the SSA-MLP-BP, PSO-MLP-BP, SA-MLP-BP, and VMD-SA-MLP-BP were compared and demonstrated that the VMD-SA-MLP-BP model performed best. The MAE, MAPE, MSE, RMSE, and R2 of the prediction evaluation indexes were 0.036 m, 11.7%, 0.004 m2, 0.067 m, and 0.983, respectively, which performed well in predicting significant wave height. © 2023 IEEE.

关键词： Variational mode decomposition

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research on fault diagnosis of ship photovoltaic power generation system 6

Research on fault diagnosis of ship photovoltaic power gener...

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6th International Conference on transportation Information and Safety, ICTIS 2021

作者： Xu, Yi Gao, Song Yan, Xinping School of Energy and Power Engineering Wuhan University of Technology Wuhan China Intelligent Transport System Research Center Wuhan University of Technology Wuhan China Engineering Research Center for Transportation Safety Ministry of Education Wuhan China MoT Key Laboratory of Marine Power Engineering &technology Wuhan China

ISBN: (纸本)9781665497138

Photovoltaic (PV) power generation system as an auxiliary energy device can provide electricity for ships. In addition, it contributes to reducing carbon emissions of ships and improving ships' greenness. However, the ship's PV power generation system is sensitive to be affected by the external environment. PV arrays break down occasionally during system operation, which can affect the stability of the ship's electrical system. Therefore, it is great significance to carry out the fault diagnosis research on PV power generation systems. In this paper, the ship PV power generation system simulation model is established based on the performance parameters of a barge PV power generation system. The simulation model is established in Matlab/Simulink. The characteristics of 13 faults were simulated, such as Open-circuit, Short-circuit, different degrees of Shadow shielding, and cross faults of PV arrays components. In this paper, the Cuckoo Search-Probabilistic neural network (CS-PNN) algorithm is proposed. The accuracy is verified by fault simulation data and experimental data. The result shows this method can diagnose the fault types of the PV power generation system of ships. It is very effective that can provide a guarantee for the safe and stable operation of ships. © 2021 IEEE.

关键词： Failure analysis

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Double Hilbert transform based nonlinear harmonics correction for fringe projection profilometry

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Optik 2025年 327卷

作者： Wang, Beibei sun, Huanghe Huang, Chaoguang Huang, Wenbin Wang, Haijian Li, Wenjie Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin541004 China Engineering Research Center of Digital Imaging and Display Ministry of Education Soochow University Suzhou215006 China Guilin Kenvin Peter Technology Co. Ltd. Guilin541001 China

Fringe projection profilometry (FPP) has the advantages of large field of view, high precision and resolution, and is widely used in industrial inspection, medical treatment, aerospace and other fields. The nonlinear response between the camera and the projector in the system will affect the sinusoidal intensity of the captured fringe images, produce periodic phase errors, and affect the final reconstruction accuracy. Traditional double N-step phase shift (NPS) and Hilbert transform (HT) methods only correct the fundamental harmonic part of the phase nonlinear errors, and ignore the rest of the higher harmonic. Therefore, a double HTs based nonlinear phase error correction method is proposed, taking the higher order nonlinear harmonics into account. The artificial sinusoidal fringe images without background term are constructed using the wrapped phase calculated by captured fringe images. Then the HT is performed to convert the phase error to multiplication from addition, which can realize error balance in phase calculation. After obtaining the new phase, reoperation of artificial fringe generation and HT (AHT) is carried out to effectively remove the high order harmonic part of nonlinear harmonics. In proposed method, the wrapped phase calculated by captured fringe images is directly used to generate the artificial fringe images, which does not require additional projection patterns and realize real-time correction of phase nonlinear errors with high accuracy. Furthermore, direct artificial fringe generation also can efficiently avoids the effect of background intensity to the HT. Theoretical analysis, simulation analysis and experimental verification all prove the feasibility and superiority of the proposed method. © 2025 Elsevier GmbH

关键词： Harmonic analysis

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Flexible Active-Matrix Micro-LED Display Utilizing InSnO TFTs with High Mobility of 39.1 cm2V-1s-1 and Mass-Production Compatible Process

Flexible Active-Matrix Micro-LED Display Utilizing InSnO TFT...

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International Electron Devices Meeting (IEDM)

作者： Zuoxu Yu Yimeng Sang Yuzhen Zhang Yiyang Zhang Runxiao Shi Siyang Liu Tao Tao Xifeng Li Cong Peng Rong Zhang Wangran Wu Zhe Zhuang Bin Liu Weifeng Sun National ASIC System Engineering Research Center School of Integrated Circuits Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials School of Electronic Science and Engineering Nanjing University Nanjing China School of Integrated Circuits Nanjing University Suzhou China Key Laboratory of Advanced Display and System Applications of the Ministry of Education Shanghai University Shanghai China

ISBN: (数字)9798350365429

ISBN: (纸本)9798350365436

The increasing pursuit of ultrahigh resolution displays has driven the demand for thin film transistors (TFTs) with higher mobility, especially on flexible substrates. In this work, we developed InSnO (ITO) TFTs on flexible substrates and achieved a remarkable average mobility of 39.1 cm 2 V -1 s -1 , via mass-production compatible processes utilizing SiO 2 gate dielectric. Benefiting from the ultra-flat surface and extremely low coefficient of thermal expansion (CTE) of our PI substrate, the ITO TFTs exhibit excellent wafer-scale uniformity, reliable mechanical flexibility, and robust bending durability. Based on the ITO TFTs, we fabricated flexible 2T1C pixel circuits that can operate in both PAM and PWM schemes. The flip-chip micro-LEDs ( $\mu$ -LEDs) were transferred to a flexible PI holder nondestructively with the assistance of UV tape and present superior robustness and endurance under cyclic bending. Moreover, we bonded $\mu$ -LEDs to the 2T1C pixel circuits and demonstrated a flexible active-matrix $\mu$ -LED display. The feasibility of flexible illumination and image control has been verified, providing great potential for high-resolution flexible displays in the future.

关键词： Degradation Performance evaluation Indium tin oxide Circuits Bending Pulse width modulation Thin film transistors Dielectrics Photomicrography Substrates

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