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In-Situ Electrostatic Field Regulating the Recrystallization Behavior of P(Vdf-Trfe) Films with High Β-Phase Content and Enhanced Piezoelectric Properties

SSRN

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SSRN 2022年

作者： Lv, Fu Lin, Jiamin Zhou, Zheng Hong, Zijian Wu, Yongjun Ren, Zhaohui Zhang, Qilong Dong, Shurong Luo, Jikui Shi, Junhui Chen, Ruimin Liu, Bing Su, Yuanjie Huang, Yuhui School of Materials Science and Engineering State Key Laboratory of Silicon Materials Cyrus Tang Center for Sensor Materials and Applications Zhejiang University Zhejiang Hangzhou310027 China School of Materials Science and Engineering State Key Lab of Silicon Materials Zhejiang University Zhejiang Hangzhou310027 China College of Information Science and Electronic Engineering Key Lab of Advanced Micro Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Zhejiang Hangzhou310027 China Zhejiang Lab Zhejiang Hangzhou311121 China College of Electronic Information and Engineering Hangzhou Dianzi University Zhejiang Hangzhou310018 China School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Sichuan Chengdu610054 China

Fabrication of flexible piezoelectric polymers is essential for the development of wearable biosensors. Nevertheless, the piezoelectric coefficient of polymers is usually an order of magnitude lower than the inorganic piezoelectric materials, which limits the miniature of the devices. Herein, a simple and cost-effective technique is proposed by applying an electrostatic field to in-situ regulate the recrystallization behavior of the poly(vinylidene fluoride-trifluorethylene) (P(VDF-TrFE)) film during the thermal annealing and recrystallization stage. Significantly enhanced properties are obtained, including a large piezoelectric coefficient (d 33 ~30.7 pC/N) and a high voltage sensitivity of 167.12 mV/kPa. The outstanding performance is mainly attributed to the applied electrostatic field maintained during the film growth stage, which promotes the generation of nucleation sites for the polar β lamellae crystals. A wireless sensor system is further established with the obtained P(VDF-TrFE) film, demonstrating great potential applications in movement monitoring. The proposed facile approach could potentially be applied to the large-scale production of polymer films with excellent piezoelectric properties for flexible wireless biosensing device applications. © 2022, The Authors. All rights reserved.

关键词： Piezoelectricity

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Applying neural networks with a high-resolution automotive radar for lane detection 10

Applying neural networks with a high-resolution automotive r...

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10. GMM-Fachtagung Automotive meets Electronics, AmE 2019 - 10th GMM-Symposium Automotive meets Electronics, AmE 2019

作者： Feng, Zhaofei Zhang, Shuo Kunert, Martin Wiesbeck, Werner Advanced Engineering Sensor Systems Robert Bosch GmbH Leonberg71226 Germany Institut für Hochfrequenztechnik und Elektronik Karlsruher Institut für Technologie Karlsruhe76131 Germany

ISBN: (纸本)9783800748778

Neural Networks are widely used for object-level detection and classification or pixel-level segmentation with optical sensors like video cameras or laser scanners. Conversely, limited by its reflection point number, classification with neural network based on radar data gains much less attention. For state-of-the-art radar sensors on the market, functions like Adaptive Cruise Control, Forward Collision Warning, and Automatic Emergency Breaking are implemented. Since radar sensor poses advantages over camera or laser scanner under certain adverse environmental conditions, the system reliability for autonomous vehicle can be significantly improved by fusing the radar detections with the data coming from other optical devices. Currently, with the improvement in resolution for the next generation automotive radar systems, neural network also becomes a very promising tool in classification or segmentation. Since knowing the driving lane is a crucial task for autonomous driving, this paper shows such a potential for radar sensor to process driving lane segmentation together with a popular neural network that is mostly applied in computer vision domain. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Object detection

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Point cloud segmentation with a high-resolution automotive radar 10

Point cloud segmentation with a high-resolution automotive r...

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10. GMM-Fachtagung Automotive meets Electronics, AmE 2019 - 10th GMM-Symposium Automotive meets Electronics, AmE 2019

ISBN: (纸本)9783800748778

Deep Learning is currently widely used in video-based classification and segmentation tasks for autonomous vehicles. With images as input, pixels can be used as structured input data for a convolutional neural network. In order to improve the reliability of the perception system for automated vehicles, other sensors can simultaneously be employed to complement the shortcomings of the video camera sensors. Among these sensor candidates, RADAR and LIDAR sensors are the two prominent ones. For these two sensors, the input data format is totally different from that of the camera sensor, where object reflection points are collected instead of pixels. A simple way to handle these reflection points is to manually create a grid map and fill it up with the reflection points. However, this causes not only information loss during the filling process, but also increases the input data size significantly because of the large number of grid cells, especially when a 3D grid representation is used. So it can be advantageous to feed the reflection points directly into the neural network. Such unstructured input data format, however, will not work in conventional, grid-based convolutional neural networks. In this paper, we will present application results with a recently developed point-based neural network for radar reflection point cloud segmentation. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Autonomous vehicles

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Gaseous Scissor-mediated Electrochemical Exfoliation of Halogenated MXenes and its Boosting in Wear-Resisting Tribovoltaic Devices

arXiv

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arXiv 2024年

作者： Fan, Qi Chen, Minghua Li, Longyi Li, Minghui Xiao, Chuanxiao Zhao, Tianci Pan, Long Liang, Ningning Huang, Qing Zhu, Laipan Naguib, Michael Liang, Kun Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications Ningbo Key Laboratory of Special Energy Materials and Chemistry Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China University of Chinese Academy of Sciences 19 A Yuquan Rd Shijingshan District Beijing100049 China Beijing Key Laboratory of Micro-nano Energy and Sensor Center for High-Entropy Energy and Systems Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing101400 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China Ningbo New Materials Testing and Evaluation Center Co. Ltd Ningbo315201 China School of Physics and Optoelectronic Engineering Beijing University of Technology Beijing100124 China Key Laboratory of Advanced Metallic Materials of Jiangsu Province School of Materials Science and Engineering Southeast University Nanjing211189 China Qianwan Institute of CNITECH Ningbo315201 China Department of Physics and Engineering Physics Tulane University New OrleansLA70118 United States

Two-dimensional transition metal carbides (MXenes), especially their few-layered nanosheets, have triggered burgeoning research attentions owing to their superiorities including extraordinary conductivity, accessible active surface, and adjustable processability. Molten salts etching route further achieves their controllable surface chemistry. However, the method encounters challenges in achieving few-layer structures due to more complex delamination behaviors. Herein, we present an efficient strategy to fabricate Cl- or Br-terminated MXene nanoflakes with few-layers, achieved by electrochemical intercalation of Li ions and concomitant solvent molecules in the electrolyte solution, with gaseous scissors (propylene molecules) to break up interlayer forces. By controlling cut-off voltages, the optimal protocol results in nanosheets with an ultrahigh yield (~93%) and preserved surface chemistry. The resultant MXenes dispersions were employed as lubricants to enhance tribovoltaic nanogenerators, where Ti3C2Br2 displayed superior electrical output. These findings facilitate the understanding of MXenes’ intrinsic physical properties and enable the nanoengineering of advanced electronic devices. Copyright © 2024, The Authors. All rights reserved.

关键词： Nanosheets

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Static environment perception based on high-resolution automotive radars 7th

Static environment perception based on high-resolution autom...

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7th International Conference on Smart Cities and Green ICT systems, SMARTGREENS 2018 and 4th International Conference on Vehicle Technology and Intelligent Transport systems, VEHITS 2018

作者： Li, Mingkang Feng, Zhaofei Stolz, Martin Kunert, Martin Henze, Roman Küçükay, Ferit Advanced Engineering Sensor Systems Robert Bosch GmbH Daimlerstr. 6 Leonberg71229 Germany Institute of Automotive Engineering Technische Universität Braunschweig Hans-Sommer-Str. 4 Brunswick38106 Germany

ISBN: (纸本)9783030266325

High-resolution radar sensors have the capability to perceive the surroundings around the vehicle very exactly by detecting thousands of reflection points per measurement cycle. To model the static environment with these detection points, a novel approach of occupancy grid mapping is developed in this paper. The reflection amplitudes of all data points are compensated, normalized, and then converted to a detection probability value that is based on a predefined radar sensor model. According to the movement of the test vehicle, the a posteriori occupancy probability after several measurement cycles is computed to build the occupancy grid map. Thereafter this occupancy grid map is transformed into a binary grid map, where the grid cells, with an obstacle present, are defined as occupied. Through the Connected-Component Labelling algorithm, these occupied grid cells are then clustered and all the outliers with only a few grid cells are eliminated. Then, the boundaries of the clustered, occupied grid cells are recognized by the Moore-Neighbor Tracing algorithm. Based on these boundaries, the free space of an interval-based model is determined by using the Bresenham’s line algorithm. The occupancy grid map and the free space detection results elaborated in this paper from the recorded radar measurements show a perfect match with the real road scenarios. © Springer Nature Switzerland AG 2019.

关键词： Radar measurement

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Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms

Hand Gesture Recognition based on Electrical Impedance Tomog...

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Impedance Spectroscopy (IWIS), International Workshop on

作者： Mariem Hafsa Bilel Ben Atitallah Taha ben Salah Najoua Essoukri Ben Amara Olfa Kanoun LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany University of Sfax National School of Engineers of Sfax Sfax Tunisia University of Sousse National Engineering School of Sousse Sousse Tunisia

Electrical Impedance Tomography (EIT) for gesture recognition is on the rise in the bio-medical field. It is an imaging technique based on a set of electrodes which are placed on the forearm of the individual. The inner conductivity distribution inside the forearm will be calculated based on measured boundary voltages resulting of the injected excitation signal. In this work, the Genetic Algorithm, using the Non-Blind Search has been developed as a solution for the EIT Inverse Problem. Therefore, several measurements have been conducted for American sign numbers (0-9) for gesture recognition applications. The reconstructed images were used in a Convolutional Neural Network (CNN) classification algorithm for gesture recognition. The overall accuracy achieved for image recognition was 93%.

关键词： Electrical impedance tomography Spectroscopy Voltage measurement Inverse problems Gesture recognition Search problems Classification algorithms

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Simulation of Radio Tomographic Imaging for Measurement Rice Moisture Content

Simulation of Radio Tomographic Imaging for Measurement Rice...

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IEEE International Conference on Control System, Computing and engineering (ICCSCE)

作者： Mohammed Saeed Moqbel Abdullah Latifah Munirah Kamarudin Mohd Hafiz Fazalul Rahiman Latifah Mohamed Ammar Zakaria School of Mechatronic Engineering Universiti Malaysia Perlis Perlis Malaysia School of Computer and Communication Engineering Universiti Malaysia Perlis Perlis Malaysia Centre of Excellence for Advanced Sensor Technology (CEASTech) School of Mechatronic Engineering Universiti Malaysia Perlis Perlis Malaysia School of Electrical Systems Engineering Universiti Malaysia Perlis Perlis Malaysia

ISBN: (数字)9781728172439

ISBN: (纸本)9781728172446

Radio Tomographic Imaging (RTI) is an emerging technology for imaging the attenuation caused by physical objects in wireless networks that perform wireless receive signal strength (RSS) measurements obtain a reconstruction of objects inside an area of interest to know the different moisture content of rice in the silo. The simulation results analysis has been performed. The image of the phantoms was reconstructed by the selected image reconstruction algorithms, which are Linear Back Projection (LBP), Filtered Back Projection (FBP), and Gaussian. Evaluation of this work was assessed by using three image quality assessment techniques Mean Structural Similarity Index (MSSIM). MSSIM was used to analyze the reconstructed images. Among the three proposed images reconstruction algorithms linear back projection, filtered back projection, and Gaussian algorithm. Gaussian seems to be a more reliable option for reconstructing the image of moisture content of rice in a silo by using 20 RF nodes in the RTI system. This paper discusses in detail the use of shadowing losses on links between RF sensors in a wireless community to image the attenuation of moisture content inside the wi-fi network vicinity.

关键词： Phantoms Moisture Image reconstruction Tomography Radio frequency Filtering algorithms Mathematical model

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Exploring the Hysteresis Properties of Nanocrystalline Permanent Magnets Using Deep Learning

SSRN

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SSRN 2023年

作者： Kovacs, Alexander Exl, Lukas Kornell, Alexander Fischbacher, Johann Hovorka, Markus Gusenbauer, Markus Breth, Leoni Oezelt, Harald Yano, Masao Sakuma, Noritsugu Kinoshita, Akihito Shoji, Tetsuya Kato, Akira Schrefl, Thomas Christian Doppler Laboratory for Magnet design through physics informed machine learning Viktor Kaplan-Straße 2E Wiener Neustadt2700 Austria Department for Integrated Sensor Systems Danube University Krems Viktor Kaplan-Straße 2E Wiener Neustadt2700 Austria Department of Mathematics University of Vienna Oskar-Morgenstern-Platz 1 Vienna1090 Austria Wolfgang Pauli Institute Oskar-Morgenstern-Platz 1 Vienna1090 Austria Research Platform MMM Mathematics-Magnetism-Materials Oskar-Morgenstern-Platz 1 Vienna1090 Austria Advanced Materials Engineering Div. Toyota Motor Corporation 1200 Shizuoka Mishuku Susono410-1193 Japan

We demonstrate the use of model order reduction and neural networks for estimating the hysteresis properties of nanocrystalline permanent magnets from microstructure. With a data-driven approach, we learn the demagnetization curve from data-sets created by grain growth and micromagnetic simulations. We show that the granular structure of a magnet can be encoded within a low-dimensional latent space. Latent codes are constructed using a variational autoencoder. The mapping of structure code to hysteresis properties is a multi-target regression problem. We apply deep neural network and use parameter sharing, in order to predict anchor points along the demagnetization curves from the magnet’s structure code. The method is applied to study the magnetic properties of nanocrystalline permanent magnets. We show how new grain structures can be generated by interpolation between two points in the latent space and how the magnetic properties of the resulting magnets can be predicted. © 2023, The Authors. All rights reserved.

关键词： Permanent magnets

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Ultrafast polarization modulation with high-purity chiral quasi-BIC metasurfaces

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Chinese Optics Letters 2025年第5期23卷 053605-053605页

作者： Fangxing Lai Yubin Fan Xinbo Sha Huachun Deng Xiong Jiang Shumin Xiao Can Huang Qinghai Song 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 Systems Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China Department of Electrical Engineering City University of Hong Kong Hong Kong 999077 China Heilongjiang Provincial Key Laboratory of Advanced Quantum Functional Materials and Sensor Devices Harbin 150001 China

Precise control of the polarization state of light on ultrafast time scales plays a key role in revealing the inherent chiral or anisotropic optical responses in various material systems, and it is crucial for applications that require complex polarization encoding. Here, we explore ultrafast polarization control enabled by silicon-based chiral bound state in the continuum (BIC) metasurfaces. By utilizing the intrinsic chiral mode, we achieve high-purity chiral reflection light (S 3 ∼ −0.92) and rapid modulation (∼0.4 ps) of polarization states through all-optical methods. Unlike traditional polarization modulation techniques, our approach leverages the unique advantages of slanted etching dielectric chiral BIC metasurfaces, which facilitate high- Q resonance and exhibit narrow linewidths. These advantages allow swift alterations in polarization states with minimal modulation energy consumption, which should help for greater control of light in integrated photonic applications.

关键词： Light matter interactions Modulation techniques Polarization control Q factor Refractive index Scanning electron microscopy

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Micropatterned piezoelectric films induced by modulated corona field for weak signal detection

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Chemical engineering Journal 2025年 517卷

作者： Fu Lv Chenghang Yu Bing Liu Jiamin Lin Zijian Hong Yongjun Wu Zhaohui Ren Qilong Zhang Shurong Dong Jikui Luo Juan Li Yuhui Huang School of Materials Science and Engineering Cyrus Tang Center for Sensor Materials and Applications Innovation Center of Yangtze Delta Institute of Fundamental and Transdisciplinary Research Zhejiang University Hangzhou Zhejiang 310058 China Nanhu Brain-computer Interface Institute Hangzhou Zhejiang 311100 China School of Engineering Hangzhou City University Hangzhou Zhejiang 310015 China College of Electronic Information and Engineering Hangzhou Dianzi University Hangzhou Zhejiang 310018 China Zhejiang Key Laboratory of Advanced Solid State Energy Storage Technology and Applications Taizhou Institute of Zhejiang University Taizhou Zhejiang 318000 China College of Information Science and Electronic Engineering Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou Zhejiang 310027 China College of Materials and Science Engineering Zhejiang University of Technology Hangzhou Zhejiang 310014 China

Enhancing the inherent piezoelectricity and introducing innovative structural designs are the two fundamental strategies for enhancing the pressure sensitivity of P(VDF-TrFE)-based sensors. In this study, we propose a scalable and cost-effective manufacturing approach that utilizes a modulated corona field to create micropatterns on the surface of P(VDF-TrFE) films, and enhance their piezoelectric properties during the annealing and recrystallization process. The micropatterned P(VDF-TrFE) films exhibit a distinctive “wavy” microstructure and possess ultrahigh piezoelectric properties (d 33 ∼ 35.6 pC/N), resulting in excellent sensitivity (∼477.94 mV/kPa). To unravel the underlying mechanism responsible for this superior performance, we employ finite element modeling and phase-field simulations. Our findings reveal that the modulated corona field generates an equipotential surface with a characteristic “wavy” distribution and promotes the creation of nucleation sites for the polar β phase in P(VDF-TrFE) films. A real-time monitoring system is further exploited with the obtained micropatterned P(VDF-TrFE) films for detecting radial artery pulse signals. The results obtained from this work hold great promise for the development of highly sensitive sensors, with wide-ranging applications in healthcare and environmental monitoring.

关键词： Flexible wireless biosensors Micropatterned structure Phase-field simulations Piezoelectric polymer

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