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Effect of Chloride Ion Concentrations on Luminescence Peak Blue Shift of Light-Emitting Diode Using Anti-Solvent Extraction of Quasi-Two-Dimensional Perovskite

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Tsinghua Science and technology 2021年第4期26卷 496-504页

作者： Baoyu Liu Xiaoping Zou Dan Chen Taoran Liu Yuhua Zuo Jun Zheng Zhi Liu Buwen Cheng Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory for SensorMOE Key Laboratory for Modern Measurement and Control TechnologyBeijing Information Science and Technology UniversityBeijing 100101China the State Key Laboratory on Integrated Optoelectronics Institute of SemiconductorChinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In recent years,Perovskite Light-Emitting Diodes(PeLEDs)have received considerable attention in ***,with the development of PeLEDs,commercial applications of full-color PeLED technology are largely limited by the progress of blue-emitting devices,due to the uncontrollably accurate composition,unstable properties,and low *** this article,we add Cesium chloride(CsCl)to the quasi-two-dimensional(quasi-2D)perovskite precursor solution and achieve the relatively blue shifts of PeLED emission peak by introducing chloride ions for photoluminescence(PL)and electroluminescence(EL).We also found that the introduction of chlorine ions can make quasi-2D perovskite films thinner with smoother surface of 0.408 *** is interesting that the EL peaks and intensities of PeLED are adjustable under different driving voltages in high concentration chlorine-added perovskite devices,and different processes of photo-excited,photo-quenched,and photo-excited occur sequentially with the increasing driving *** work provides a path for demonstrating full-color screens in the future.

关键词： Perovskite Light-Emitting Diodes(PeLEDs) quasi-two-dimensional(quasi-2D) chloride ions blue shifts

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Recent research of peptide-based hydrogel in nervous regeneration

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Bioactive Materials 2024年第10期40卷 503-523页

作者： Chunmei Xie Yueyang Chen Lang Wang Kin Liao Bin Xue Yulong Han Lan Li Qing Jiang State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China Advanced Digital and Additive Manufacturing Center Khalifa University of Science and TechnologyPo Box 127788Abu DhabiUnited Arab Emirates National Laboratory of Solid State Microstructures Department of PhysicsNanjing UniversityNanjingChina State Key Laboratory of Pharmaceutical Biotechnology Division of Sports Medicine and Adult Reconstructive SurgeryDepartment of Orthopedic SurgeryDrum Tower Hospital Affiliated to Medical School of Nanjing UniversityNanjingChina Jiangsu Engineering Research Center for 3D Bioprinting NanjingChina Institute of Medical 3D Printing Nanjing UniversityNanjingChina

Neurological disorders exert significantly affect the quality of life for patients,necessitating effective strategies for nerve *** traditional autologous nerve transplantation and emerging therapeutic approaches encounter scientific challenges due to the complex nature of the nervous system and the unsuitability of the surrounding environment for cell *** engineering techniques offer a promising path for *** neural tissue engineering relies on modulating cell differentiation behavior and tissue repair by developing biomaterials that mimic the natural extracellular matrix(ECM)and establish a threedimensional ***-based hydrogels have emerged as a potent option among these biomaterials due to their ability to replicate the structure and complexity of the *** review aims to explore the diverse range of peptide-based hydrogels used in nerve regeneration with a specific focus on dipeptide hydrogels,tripeptide hydrogels,oligopeptide hydrogels,multidomain peptides(MDPs),and amphiphilic peptide hydrogels(PAs).Peptide-based hydrogels offer numerous advantages,including biocompatibility,structural diversity,adjustable mechanical properties,and degradation without adverse ***,hydrogels formed from self-assembled polypeptide nanofibers,derived from amino acids,show promising potential in engineering neural tissues,outperforming conventional materials like alginate,poly(ε-caprolactone),and ***,the simple design and cost-effectiveness of dipeptidebased hydrogels have enabled the creation of various functional supramolecular structures,with significant implications for nervous system *** hydrogels are expected to play a crucial role in future neural tissue engineering *** review aims to highlight the benefits and potential applications of peptidebased hydrogels,contributing to the advancement of neural tissue engineering.

关键词： Self-assembled Dipeptide Cyclic dipeptide Hydrogels Nervous regeneration

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Optimal Minimum Energy Path Planning of Mobile Robot Based on Improved WOA-GA with Hybrid Strategy for Community-Centric Application

Optimal Minimum Energy Path Planning of Mobile Robot Based o...

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2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023

作者： Du, Jiang Da-Lin, Zhou Gong-Fa, Li Bao-Li, Lu Jun-Tong, Yun Ying, Liu Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan430081 China School of Computing University of Portsmouth PortsmouthPO1 3HE United Kingdom China Three Gorges University Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance Yichang443002 China Wuhan University of Science and Technology Key Laboratory of Mechanical Transmission and Manufacturing Engineering of Hubei Province Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China

ISBN: (纸本)9798350303780

The path planning of mobile robots is investigated to minimize energy loss in intelligent manufacturing. To achieve optimal energy consumption planning, this paper proposes a hybrid strategy that enhances the whale optimization algorithm (WOA) and the genetic algorithm (GA). The WOA-GA algorithm combines their respective advantages and effectively mitigates premature convergence exhibited by the standard traditional algorithm. To enhance the global and local search capabilities of the standard WOA, we employ adaptive weighting and a Cauchy mutation strategy. Additionally, we introduce an adaptive crossover mutation probability and an elite strategy to mitigate the detrimental effects of the genetic algorithm's evolutionary operation in the late iterations, thereby improving its performance. This paper compares the performance of the standard GA, the standard WOA-GA algorithm, and the enhanced WOA-GA algorithm. The experimental results demonstrate that the enhanced WOA-GA algorithm can achieve optimal energy-efficient path planning using the hybrid strategy. The average energy consumption of the enhanced WOA-GA algorithm can be reduced by 30%, while the maximum energy consumption can be reduced by 47%. The results confirm the effectiveness and feasibility of the proposed method in enhancing the level of green manufacturing. © 2023 IEEE.

关键词： Genetic algorithms

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General electronic structure calculation method for twisted systems

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Physical Review B 2025年第7期111卷 075434-075434页

作者： Junxi Yu Shifeng Qian Cheng-Cheng Liu Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) and Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing 100081 China Anhui Province Key Laboratory for Control and Applications of Optoelectronic Information Materials Department of Physics Anhui Normal University Anhui Wuhu 241000 China

In recent years, two-dimensional twisted systems have gained increasing attention. However, calculating the electronic structures in twisted materials has remained a challenge. To address this, we have developed a general computational methodology that can generate twisted geometries starting from a monolayer structure and obtain a precisely relaxed twisted structure through a machine learning-based method. Then, the electronic structure properties of the twisted material are calculated using the tight-binding (TB) and continuum model methods; thus, the entire process requires minimal computational resources. We introduce the theoretical methods for generating twisted structures and computing their electronic properties, and further provide calculations and brief analyses of the electronic structure properties for several typical two-dimensional materials with different characteristics. This paper serves as a solid foundation for researchers interested in studying twisted systems.

关键词： Electronic properties

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Developed of special CNC system for dental implant based on spiral trajectory smooth compression 5

Developed of special CNC system for dental implant based on ...

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5th International Conference on Mechatronics and Computer technology Engineering, MCTE 2022

作者： Xu, Qingping Zhao, Gang Huang, Bo Shao, Hua He, Kai Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan430081 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518005 China Shenzhen Key Laboratory of Precision Engineering Shenzhen518005 China

ISBN: (纸本)9781510661073

The demand for dental implants has grown rapidly in recent years, but they are expensive. One of the prime reasons is its manufacturing costs. In order to realize low cost and high efficiency of dental implant processing, this paper presents a seven-axis machine tool and develops a special numerical control system of the machine tool. Firstly, the structure of machine designed by us is introduced. Then, the hardware structure and software function of the control system were designed according to the processing technology of dental implant, including turning-milling conversion and back processing. In addition, a spiral path smooth compression algorithm was proposed to improve the machining efficiency and quality. Finally, the performance of the machining center is tested to verify that it has a high degree of automation, processing efficiency and machining quality, which meets the performance requirements. © 2022 SPIE.

关键词： Machine tools

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The Suppression Mechanism of Parasitic Capacitance for Comb Capacitor Fabricated with Silicon-On-Insulation

The Suppression Mechanism of Parasitic Capacitance for Comb ...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Renjie Tan Juan Yang Libo Zhao Xiangguang Han Wei Li Yong Xia Yi Gao Chengying Wang Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Mechanical Engineering Xi’an Jiaotong University Xi’an China China Xi’an Satellite Control Center Xi’an China State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Instrument Science and Technology Xi’an Jiaotong University Xi’an China Xi’an Aerospace Propulsion Institute Xi’an China

ISBN: (数字)9798350359831

ISBN: (纸本)9798350359848

This paper establishes theoretical circuit and electrostatic current multi-physical field simulation models for a typical comb capacitor fabricated with silicon-on-insulation. The influence of related electrical parameters and conditions on equivalent capacitance is revealed by analytical solution and simulation, and several methods are proposed to suppress the interference of parasitic capacitance on ideal capacitance, such as high-resistivity substrate Si, relatively high-frequency excitation, and grounded substrate Si. The models and methods proposed in this paper can provide theoretical guidance for the design and suppression of parasitic capacitance of MEMS (Micro-Electro-Mechanical System) capacitive sensors.

关键词： Micromechanical devices Analytical models Capacitors Silicon Software Nanoscale devices Integrated circuit modeling

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A Robust Multi-AGV Cooperative Path Planning Method Considering Spatiotemporal Distance 5

A Robust Multi-AGV Cooperative Path Planning Method Consider...

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5th International Conference on Computer Engineering and Intelligent control, ICCEIC 2024

作者： Chen, Maolin Chen, Songhang Lian, Mingchang School of Advanced Manufacturing Fuzhou University Quanzhou China Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou China Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou China Fujian College University of Chinese Academy of Sciences Fuzhou China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou China

ISBN: (纸本)9798331507992

With the widespread application of Automated Guided Vehicles (AGVs) in warehousing and logistics systems, the optimization of multi-AGV path planning has become a critical issue. Current methods primarily focus on minimizing operating time and energy consumption but often overlook spatiotemporal distances between paths, leading to frequent path conflicts and interferences in the system. This paper proposes a neural network based time window estimation model, designed to generate time windows that better align with dynamic environments. Based on this model, we introduce a collaborative multi-AGV path planning method that optimizes spatiotemporal distances between paths. Compared to the Conflict-Based Search (CBS) method, this approach significantly improves the spatiotemporal distance between AGVs during task execution, enhancing the robustness of AGV clusters while only marginally increasing time costs. © 2024 IEEE.

关键词： Automatic guided vehicles

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Study on the thinning characteristics of aviation tubes during bending forming under boundary lubrication friction

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Journal of manufacturing Processes 2025年 149卷 443-455页

作者： Yu Wu Zhineng Wang Jing Tian Renzhen Chen Weiming Lin Yaochen Lin Health Maintenance for Mechanical Equipment Key Lab Hunan University of Science and Technology Xiangtan 411201 China Liaoning Key Laboratory of Advanced Measurement and Test Technology for Aviation Propulsion System Shenyang Aerospace University Shenyang 110136 China Zhejiang King-Mazon Intelligent Manufacturing Corp. Ltd Lijiang 321400 China

The reduction of wall thickness during the bending forming process of aviation tubes is a common issue, particularly for large-diameter, thick-walled tubes. Under heavy load conditions, the lubrication state deteriorates, leading to a boundary lubrication state that complicates the prediction of wall thickness reduction. Current research on tube bending forming relies on Coulomb friction, which does not accurately reflect real-world conditions. Therefore, we propose a method for analysing tube thinning during bending forming that considers the friction characteristics of boundary lubrication. ABAQUS/VFRIC was employed to develop a dynamic friction model that considers contact pressure. Additionally, material hardness and RMS roughness were incorporated into the finite element simulation. Results show that as the tubing advances, the contact area between the pressure die and the tube changes and the friction between them generates a certain amount of compressive stress. An increase in contact pressure results in a higher friction coefficient, leading to a substantial rise in the tensile stress on the tube's exterior, further aggravating the thinning of the outer wall. In particular, stress concentrations and elevated strains resulting from boundary lubrication friction are especially pronounced at the 40° and 60° bending positions. In addition, increased RMS roughness and decreased material hardness contribute to more significant thinning effects. Experimental verification indicates that this dynamic friction model offers greater accuracy than the traditional Coulomb friction model in predicting wall thickness thinning, achieving a maximum error reduction to 3% and an accuracy enhancement of 7%. The findings provide theoretical support for process optimisation in aerospace manufacturing and establish a foundation for designing and implementing high-precision forming processes.

关键词： Bending forming Friction model Wall thinning

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Recent patents for the motorized spindle preload mechanism

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Recent Patents on Mechanical Engineering 2021年第3期14卷 329-341页

作者： Dai, Ye Wen, Wan-Jian Xuan, Li-Yu Yu, Xiao-Yang Wang, Gang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education School of Mechanical and Power Engineering Harbin University of Science and Technology Harbin150080 China School of College of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technolo-gy Harbin150080 China Ningbo Skync Five Axis Numerical Control Tech Co. Ltd Yuyao315400 China

Background: The motorized spindle preload technology is one of the motorized spindle key technologies, and adjusting the preload according to the working conditions can effectively improve the dynamic performance of the motorized spindle and enhance the machining accuracy. Objectives: Review the preload mechanism development, introduce various preload mechanisms, and show research status in recent years. Then to explore and predict the future development of preload technology through the analysis of the overall preload mechanism. Methods: Search for different kinds of patents and literature about spindle preload structure in recent years. Through structural research and comparison with the traditional preload mechanism, to review the structure principle of various preload mechanisms at the present stage, then shown the advantages and disadvantages of each structure. Result: According to the patents and research of the preload mechanism in recent years, classification introduced the piezoelectric ceramic preload device, electromagnetic preload device, and hydraulic preload device, and so on. Introduce their advantages and existing problems in detail, then comprehensively compare the advantages and disadvantages of various mechanisms in control and mechanism. Finally, discuss the prospects and development directions of preload technology. Conclusion: With the further development of technology, high-precision products have higher requirements for machine tools, such as low latency, low heat generation, high efficiency, and long life. People use electromagnetic force, air pressure, hydraulic pressure, and other methods, to control the magnitude of the preload, maintain the performance of the motorized spindle at a high level. Compared with the traditional quantitative preload, their applicable working conditions are more extensive and accuracy is higher. However, various new preload methods still have certain shortcomings and need further improvement. © 2021 Bentham Sci

关键词： Machine tools

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Hybrid Decision-making Strategy Combining Reinforcement Learning and Decision Rules for Highway Unmanned Driving

Hybrid Decision-making Strategy Combining Reinforcement Lear...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Lele Zhang Zeyu Yang Caocao Yu Ziniu Hu Yunshui Zhou Qingjia Cui State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha China Wuxi Intelligent Control Research Institute of Hunan University Wuxi China

ISBN: (数字)9798350384185

ISBN: (纸本)9798350384192

In recent years, reinforcement learning has been employed to address the challenge of unmanned driving decision-making, due to its ability to handle uncertainty and continuous optimization. However, compared with rule-based algorithms, its training time is considerable and the reliability of its results is difficult to guarantee. To enhance the security of decision-making processes, this paper proposes a hybrid decision-making algorithm designed to accelerate the training process of reinforcement learning and enhance the reliability of decision-making. The method first evaluates the confidence levels of both rule-based and learning-based strategies by leveraging the data collected throughout the training phase. Subsequently, an activation function is crafted to determine the final strategy with the greatest level of confidence. This guarantees that the final strategy performs at least on par with the rule-based approach. A simulation focused on highway driving was conducted as a case study to illustrate the effectiveness of the proposed method. The results demonstrate that the proposed approach offers greater profitability than the rule-based method and higher reliability compared to the learning-based method.

关键词： Training Road transportation Learning systems Uncertainty Profitability Decision making Reinforcement learning Reliability engineering Security Optimization

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