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Ferroelectrets:Heterogenous polymer electrets with high piezoelectric sensitivity for transducers

Journal of advanced Dielectrics 2023年第4期13卷 3-26页

作者： Xunlin Qiu Peng Fang Axel Mellinger Ruy Alberto Pisani Altafim Werner Wirges Gunnar Gidion Dmitry Rychkov Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power Engineering East China University of Science and Technology Shanghai 200237P.R.China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen 518055P.R.China Department of Physics Central Michigan University 223 Dow Science ComplexMount PleasantMI 48859USA Computer Systems Department Informatics Center Federal University of ParáıbaJoão Pessoa-PBBrazil Department of Physics and Astronomy University of Potsdam PotsdamBrandenburgGermany Laboratory for Electrical Instrumentation Department of Microsystems Engineering-IMTEK University of FreiburgGeorges-Köhler-Allee 106Freiburg 79110Germany Technology and Study Center Weissenburg Deggendorf Institute of Technology WeissenburgBavariaGermany

Nowadays,the demand for advanced functional materials in transducer technology is growing *** materials transform mechanical variables(displacement or force)into electrical signals(charge or voltage)and vice *** are interesting from both fundamental and application points of ***(also called piezoelectrets)are a relatively young group of piezo-,pyro-and ferroelectric *** exhibit ferroic behavior phenomenologically undistinguishable from that of traditional ferroelectrics,although the materials per se are essentially non-polar space-charge electrets with artificial macroscopic dipoles(i.e.,internally charged cavities).A lot of work has been done on ferroelectrets and their applications up to *** this paper,we review and discuss mostly the work done at university of Potsdam on the research and development of *** will,however,also mention important results from other teams,and prospect the challenges and future progress trend of the field of ferroelectret research.

关键词： Ferroelectret piezoelectret space-charge electret transducer advanced functional materials

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Topological holographic quench dynamics in a synthetic dimension

arXiv

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arXiv 2021年

作者： Yu, Danying Peng, Bo Chen, Xianfeng Liu, Xiong-Jun Yuan, Luqi State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China International Center for Quantum Materials and School of Physics Peking University Beijing100871 China Shanghai Research Center for Quantum Sciences Shanghai201315 China Jinan Institute of Quantum Technology Jinan250101 China Collaborative Innovation Center of Light Manipulations and Applications Shandong Normal University Jinan250358 China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China

The notion of topological phases extended to dynamical systems stimulates extensive studies, of which the characterization of non-equilibrium topological invariants is a central issue and usually necessitates the information of quantum dynamics in both the time and spatial dimensions. Here we combine the recently developed concepts of the dynamical classification of topological phases and synthetic dimension, and propose to efficiently characterize photonic topological phases via holographic quench dynamics. A pseudo spin model is constructed with ring resonators in a synthetic lattice formed by frequencies of light, and the quench dynamics is induced by initializing a trivial state which evolves under a topological Hamiltonian. Our key prediction is that the complete topological information of the Hamiltonian is extracted from quench dynamics solely in the time domain, manifesting holographic features of the dynamics. In particular, two fundamental time scales emerge in the quench dynamics, with one mimicking the Bloch momenta of the topological band and the other characterizing the residue time evolution of the state after quench. For this a dynamical bulk-surface correspondence is obtained in time dimension and characterizes the topology of the spin model. This work also shows that the photonic synthetic frequency dimension provides an efficient and powerful way to explore the topological non-equilibrium dynamics. Copyright © 2021, The Authors. All rights reserved.

关键词： Holography

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Author Correction: π-HuB: the proteomic navigator of the human body

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Nature 2025年第8046期637卷 E22页

作者： Fuchu He Ruedi Aebersold Mark S Baker Xiuwu Bian Xiaochen Bo Daniel W Chan Cheng Chang Luonan Chen Xiangmei Chen Yu-Ju Chen Heping Cheng Ben C Collins Fernando Corrales Jürgen Cox Weinan E Jennifer E Van Eyk Jia Fan Pouya Faridi Daniel Figeys George Fu Gao Wen Gao Zu-Hua Gao Keisuke Goda Wilson Wen Bin Goh Dongfeng Gu Changjiang Guo Tiannan Guo Yuezhong He Albert J R Heck Henning Hermjakob Tony Hunter Narayanan Gopalakrishna Iyer Ying Jiang Connie R Jimenez Lokesh Joshi Neil L Kelleher Ming Li Yang Li Qingsong Lin Cui Hua Liu Fan Liu Guang-Hui Liu Yansheng Liu Zhihua Liu Teck Yew Low Ben Lu Matthias Mann Anming Meng Robert L Moritz Edouard Nice Guang Ning Gilbert S Omenn Christopher M Overall Giuseppe Palmisano Yaojin Peng Charles Pineau Terence Chuen Wai Poon Anthony W Purcell Jie Qiao Roger R Reddel Phillip J Robinson Paola Roncada Chris Sander Jiahao Sha Erwei Song Sanjeeva Srivastava Aihua Sun Siu Kwan Sze Chao Tang Liujun Tang Ruijun Tian Juan Antonio Vizcaíno Chanjuan Wang Chen Wang Xiaowen Wang Xinxing Wang Yan Wang Tobias Weiss Mathias Wilhelm Robert Winkler Bernd Wollscheid Limsoon Wong Linhai Xie Wei Xie Tao Xu Tianhao Xu Liying Yan Jing Yang Xiao Yang John Yates Tao Yun Qiwei Zhai Bing Zhang Hui Zhang Lihua Zhang Lingqiang Zhang Pingwen Zhang Yukui Zhang Yu Zi Zheng Qing Zhong Yunping Zhu State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. hefc@***. International Academy of Phronesis Medicine (Guangdong) Guangdong China. hefc@***. Department of Biology Institute of Molecular Systems Biology ETH Zurich Zurich Switzerland. aebersold@imsb.biol.ethz.ch. Macquarie Medical School Macquarie University Sydney New South Wales Australia. Institute of Pathology and Southwest Cancer Center Southwest Hospital Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology Ministry of Education of China Chongqing China. Institute of Health Service and Transfusion Medicine Beijing China. Department of Pathology and The Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University Baltimore MD USA. State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai China. Department of Nephrology First Medical Center of Chinese PLA General Hospital Nephrology Institute of the Chinese People's Liberation Army State Key Laboratory of Kidney Diseases National Clinical Research Center for Kidney Diseases Beijing Key Laboratory of Kidney Disease Research Beijing China. Institute of Chemistry Academia Sinica Taipei China. National Biomedical Imaging Center State Key Laboratory of Membrane Biology Institute of Molecular Medicine Peking-Tsinghua Center for Life Sciences College of Future Technology Peking University Beijing China. School of Biological Sciences Queen's University of Belfast Belfast UK. Functional Proteomics Laboratory Centro Nacional de Biotecnología-CSIC Madrid Spain. Computational Systems Biochemistry Research Group Ma

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Averaging Orientations with Molecular Symmetry in Cryo-EM

arXiv

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arXiv 2023年

作者： Zhang, Qi Bao, Chenglong Lin, Hai Hu, Mingxu Key Laboratory of Protein Sciences Tsinghua University Ministry of Education Beijing China School of Life Science Tsinghua University Beijing China Beijing Advanced Innovation Center for Structural Biology Tsinghua University Beijing China Beijing Frontier Research Center for Biological Structure Tsinghua University Beijing China Yau Mathematical Sciences Center Tsinghua University Beijing China Yanqi Lake Beijing Institute of Mathematical Sciences and Applications Beijing China Shing-Tung Yau Center of Southeast University Southeast University Nanjing China School of Mathematics Southeast University Nanjing China Shenzhen Medical Academy of Research and Translation Shenzhen China

Cryogenic electron microscopy (cryo-EM) is an invaluable technique for determining high-resolution three-dimensional structures of biological macromolecules using transmission particle images. The inherent symmetry in these macromolecules is advantageous, as it allows each image to represent multiple perspectives. However, data processing that incorporates symmetry can inadvertently average out asymmetric features. Therefore, a key preliminary step is to visualize 2D asymmetric features in the particle images, which requires estimating orientation statistics under molecular symmetry constraints. Motivated by this challenge, we introduce a novel method for estimating the mean and variance of orientations with molecular symmetry. Utilizing tools from non-unique games, we show that our proposed non-convex formulation can be simplified as a semi-definite programming problem. Moreover, we propose a novel rounding procedure to determine the representative values. Experimental results demonstrate that the proposed approach can find the global minima and the appropriate representatives with a high degree of probability. We release the code of our method as an open-source Python package named pySymStat. Finally, we apply pySymStat to visualize an asymmetric feature in an icosahedral virus, a feat that proved unachievable using the conventional 2D classification method in RELION. Copyright © 2023, The Authors. All rights reserved.

关键词： Macromolecules

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Simultaneous High Current Density and Selective Electrocatalytic CO2-to-CH4through Intermediate Balancing

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Angewandte Chemie 2024年第12期137卷

作者： Shuqi Hu Yumo Chen Zhiyuan Zhang Heming Liu Xin Kang Jiarong Liu Shanlin Li Yuting Luo Bilu Liu Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Advanced Layered Materials for Value-added Applications Tsinghua-Berkeley Shenzhen Institute and Institute of Materials Research Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen 518055 PR China Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada

The electrochemical reduction of CO 2 to CH 4 is promising for carbon neutrality and renewable energy storage but confronts low CH 4 selectivity, especially at high current densities. The key challenge lies in promoting *CO intermediate and *H coupling while minimizing side reactions including C−C coupling and H−H coupling, which is particularly difficult at high current density due to abundant intermediates. Here we report a cooperative strategy to address this challenge using Cu-based catalysts comprising Cu−N coordination polymer and CuO component that can simultaneously manage the key intermediates *CO and *H. A fast CO 2 -to-CH 4 conversion rate of 3.14 mmol cm −2 h −1 is achieved at 1,300 mA cm −2 with a Faradaic efficiency of 51.7 %. In situ spectroscopy and theoretical calculations show that the increased Cu−Cu distance in the Cu−N coordination polymer component favors multistep *CO hydrogenation over the dimerization, and the CuO component ensures an adequate supply of *H, together contributing to the selective CO 2 -to-CH 4 conversion at high current densities. This work develops a cooperative strategy for the electrosynthesis of CH 4 with simultaneous high current density and high selectivity by rational catalyst design, paving the way for its applications.

关键词： Electrochemical CO2 Reduction CH4 Selectivity High Current Density Fast Formation Rate

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The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Electro-Thermal Responses Polymer Systems with Continuous Shape Memory Alloys: Merging Rapid Shape Memory and Color Transitions

SSRN

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SSRN 2024年

作者： Wu, Guanzheng Bian, Peiyu Xu, Runxin Wang, Tao Li, Ziyin Mao, Haiyan Tai, Yanlong Wang, Chunxia Ma, Zhipeng Hou, Xiuliang Carpentier, Nathan Dutta, Subhajit Wuttke, Stefan Panahi-Sarmad, Mahyar Van Vlierberghe, Sandra Xiao, Xueliang College of Textiles and Clothing Yancheng Institute of Technology Jiangsu Yancheng224051 China Key Laboratory of Eco-Textiles Ministry of Education Jiangnan University Wuxi214122 China Polymer Chemistry & Biomaterials Group Centre of Macromolecular Chemistry Department of Organic and Macromolecular Chemistry Ghent University Krijgslaan 281 S4-bis Ghent9000 Belgium Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China BCMaterials Basque Center for Materials Applications and Nanostructures UPV/EHU Science Park Leioa48950 Spain IKERBASQUE Basque Foundation for Science Bilbao48009 Spain

Multi-responsive shape memory materials with on-demand programmability via external stimuli are highly desirable for many modern technologies-based applications but yet to be mixed with color-changing materials through a 3D-printing approach. Here, we address this challenge by engineering a blend of polylactic acid (PLA) and polyurethane (TPU) that is enhanced by the addition of thermochromic microcapsules (TMC). Through the fusion of these elements via melt extrusion, we produce a ternary 3D printable filament, when combined with a shape memory alloy (SMA) wire using continuous fiber-reinforced 3D printing techniques, gives rise to a PLA/TPU/TMC@SMA composite with exceptional conductivity, intelligent 3D structural adaptability, and superior mechanical characteristics, i.e., 3.29% elongation at break and a 19.05 MPa tensile strength. Notably, our printed composite strip exhibits outstanding reversibility in electrochromic chromaticity parameters, swiftly recovering to its initial state after electrochromic heating and rapid cooling cycles, thus providing real-time reversible electrochromic responses. Furthermore, our composite strip displays rapid and simultaneous shape and color transformations upon exposure to predefined temperature thresholds, highlighting its dynamic functionality. Incorporating a highly efficient conductive network of continuous SMA wires enables swift electric and thermal shape memory responses, making our PLA/TPU/TMC@SMA composite an ideal candidate for high-performance electro-thermal actuators across diverse applications. © 2024, The Authors. All rights reserved.

关键词： Shape memory effect

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B2e-Cdg: Artifact Removal for Enhanced Optical Coherence Tomography Angiography Using Conditional Guidance Diffusion

SSRN

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SSRN 2024年

作者： Xu, Jing Fu, Suzhong Xing, Jiwei Xue, Linyan Wang, Cheng Tuchin, Valery V. Zhao, Qingliang State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics Organ Transplantation Institute China Institute of Artificial Intelligence Xiamen University Xiamen361102 China State Key Laboratory of Vaccines for Infectious Diseases Xiang An Biomedicine Laboratory School of Public Health Xiamen University Xiamen361102 China Shenzhen518172 China College of Quality and Technical Supervision Hebei University Baoding071002 China School of Informatics Computer Science and Technology Department Xiamen University Xiamen361005 China Institute of Physics and Science Medical Center Saratov State University Saratov410012 Russia Laboratory of Laser Molecular Imaging and Machine Learning Tomsk State University Tomsk634050 Russia Institute of Precision Mechanics and Control FRS "Saratov Scientific Centre of the RAS" Saratov410028 Russia China

Optical Coherence Tomography Angiography (OCTA) is a revolutionary technology widely used to diagnose and manage fundus, skin and cardiovascular diseases. However, unavoidable movements, such as breathing, cause motion artifacts in images, which can significantly degrade image quality, obscure critical vascular details, and reduce the diagnostic reliability of the modality. Although recent advances in learning-based image inpainting methods for OCTA enface images have made notable progress in artifact removal, these methods still require the collection of large amounts of accurately labeled data and the generation of pseudo stripes to create paired training sets. Furthermore, the abundant structural information and flow intensity signals present in OCTA B-scans are nonnegligible. Hence we proposed B-scans to Enface Conditional Diffusion Guidance (B2E-CDG) for translation from signal-void B-scans to available B-scans. We introduce the normal B-scans in a connection manner and the specified reference B-scans in a gradient-based manner as style feature guidance into the diffusion model. Conditional guidance facilitates a more controllable and precise generation process for B-scans flow signal recovery. The requirement for labeled image collection and pseudo stripes is obviated, as the repetitive scanning nature of OCTA naturally results in paired datasets comprising signal-void and normal B-scans. The experimental results demonstrated that B2E-CDG effectively removes artifacts and restores vascular and structural information obscured by artifacts. This work shows superior vascular recovery and artifact removal capabilities in metrics and downstream tasks, enhancing the usability of OCTA in diagnostics. © 2024, The Authors. All rights reserved.

关键词： Optical coherence tomography

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Influence of Sr doping on BaTiO₃ properties: A combined DFT and experimental approach

引用

Results in Physics 2024年 67卷

作者： Khalil, Maria Qureshi, Muhammad Tauseef Elaimi, Mahmoud Al Aamir, Lubna Ahmad, Munir Saleem, Musfira Saleem, Murtaza Department of Physics University of the Punjab Quaid-e-Azam Campus Lahore 54000 Pakistan Department of Physics Mirpur University of Science and Technology (MUST) AJK Mirpur 10250 Pakistan Department of Basic Sciences College of Preparatory Year University of Ha'il Ha'il 55476 Saudi Arabia Department of Diagnostic Radiology College of Applied Medical Sciences University of Ha'il Ha'il 2240 Saudi Arabia Department of Physics College of Science for Girls Aja Campus University of Ha'il Ha'il 8145 Saudi Arabia Shenzhen Key Laboratory of Advanced Thin Films and Applications College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Department of Physics SBASSE Lahore University of Management Sciences Lahore 54792 Pakistan

Barium titanate (BaTiO3) has been extensively used as a compound due to its potential for optoelectronics and electronic applications. The density functional theory (DFT) calculations as well as chemically prepared th... 详细信息

Barium titanate (BaTiO₃) has been extensively used as a compound due to its potential for optoelectronics and electronic applications. The density functional theory (DFT) calculations as well as chemically prepared thin films were used to investigate the effect of the alkaline earth metal Sr on the electronic, thermoelectric, structural, morphological, and optical properties of the BaTiO₃ host matrix. It was found in band structure analysis that the bandgap nature changed from indirect to direct bandgap upon incorporation of the Sr atom into the BaTiO₃ host lattice. Thermoelectric characteristics showed notable changes in response to temperature and doping. The investigation demonstrated that optimized electrical conductivity, reduced thermal conductivity, and an enhanced Seebeck coefficient were achieved with a precise (5.55 %) Sr content. XRD analysis revealed the cubic phase of the prepared thin films. Morphological investigation showed the evolution of grain with the increase in dopant contents. The theoretical and experimentally measured optical characteristics also revealed that Sr doping improved the material's refractive index, conductivity, and absorption coefficient in the visible and ultraviolet energy ranges. Significant enhancements in electronic, thermoelectric, and optical properties suggest that doped BaTiO₃ could be considered a potential applicant for optoelectronic as well as thermoelectric applications. © 2024 The Author(s)

关键词： BaTiO3 DFT Electronic properties Optical properties Sr doping Thermoelectric properties

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RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation

RCGA-Net: An Improved Multi-hybrid Attention Mechanism Netwo...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Feng Xiao Cong Shen Yu Chen Tian Yang Shengyong Chen Zhijun Liao Jijun Tang School of Computer Science and Engineering Tianjin University of Technology Tianjin P.R.China Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin P.R.China School of Basic Medical Sciences Fujian Medical University Fuzhou Fujian P.R.China College of Intelligence and Computing Tianjin University Tianjin P.R.China Key Laboratory of Systems Bioengineering Ministry of Education Tianjin P.R.China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong P.R.China University of South Carolina Columbia SC U.S.A.

ISBN: (纸本)9781665429825

Drawing support from an effective Medical Image Segmentation (MIS) is conducive to a substantial diagnostic basis for the physicians to identify the focus lesion in the patient body and give the subsequent clinical assessment of the patient status. Although various works have tried the challenging quantitative analysis problem, it is still difficult to conduct precise automatic segmentation, especially the soft tissue organs. In this decade, with the increased amount of available datasets, deep learning-based networks have achieved remarkable performance in image processing. Inspired by the state-of-the-art deep learning works, in this paper, we propose an end-to-end multi-layer network named RCGA-Net. It consists of an encoder-decoder backbone that integrates a coordinate attention mechanism based on space and channel and a global context extraction module to highlight more valuable information. To evaluate the performance of RCGA-Net, we apply it to different kinds of clinical and experimental MIS tasks to testify its generalization ability. Extensive experiments represent that our schema has taken the outperform or compatible results among the comparison methods group. Specifically, the numeric result of RCGA-Net on the pulmonary dataset has achieved a 99.12% optimum F1-score.

关键词： Deep learning Image segmentation Statistical analysis Lung Predictive models Feature extraction Generative adversarial networks

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