检索结果-内蒙古大学图书馆

Implementation of industrial security systems through the internet of things

AIP Conference Proceedings 2023年第1期2831卷

作者： Priyambada Purohit T. s. shanthi Prashant sunagar s. Harihara Gopalan M. santhanakrishnan Gourav Kalra Faculty of Management studies SRM Institute of Science and Technology Delhi NCR campus Ghaziabad Uttar Pradesh Modinagar Ghaziabad Uttar Pradesh-201204 India Department of Computer Science S.A.V Sahaya Thai Arts and Science (Women) College Manonmaniam Sundaranar University Vadakkankulam Tamil Nadu-627116 India Department of Civil Engineering M.S. Ramaiah institute of Technology MSR Nagar Bengaluru Karnataka-560054 India Department of Computer Science Engineering Sri Ramakrishna Engineering College Vattamalaipalayam Coimbatore Tamil Nadu-641022 India Department of Mechanical Engineering Rajalakshmi Engineering College Rajalakshmi Nagar Thandalam Chennai Tamil Nadu-602105 India Department of Mechanical Engineering Maharishi Markandeshwar (Deemed to be University) Mullana University Road Mullana Haryana-133207 India

The Industrial sectors are the ones that boost the national economy and the spirit of the developing nations. Here therefore the security systems should be worthwhile and evidence of the industrial growth. Most of us will be aware of the Internet of things that took all the credit nowadays and in this paper, we will be using the Internet of things for all the measures to take the industrial security system to a next level. In this methodology, we will be using real-time sensors for the collection of data‟s and then we will be enhancing the data‟s to ensure that it will work properly when there is an intruder through the artificial neural networking techniques to enhance the data‟s efficiency and the time-lapse of the event that happened. An auto-correction method is added to the algorithm to add extra efficiency for the system to work better. We will be using an artificial neural network to enhance the data‟s efficacy and it does not have any other purposes. The further process will be levitated by the sensors and successfully run the process. The entire database will be sent to the cloud server that acts as a barrier and no third-party system will be allowed to enroll and it needs a proper enrolled ID to access the cloud. The industrial security system is the most important factor and the reasonable position in all the economic development. Most of us think that it is a normal class of development that induces all the other factors of development stages. People think that the economy is surrounded by money but it is full of hard work and most essential amenities like the industry. The proposed system relieves all the myths behind the security system. The most important part of all these systems is to enhance the security devices in all forms. The security breach is one of the important perspectives and it cannot be contaminated. The sensor module is controlled by the controllers which are inbuilt into the systems. The internet of things is used to enhance the data

关键词：

来源：评论

学校读者我要写书评

暂无评论

segmentation of Kidney stones in Medical Ultrasound Images 2nd

Segmentation of Kidney Stones in Medical Ultrasound Images

引用

2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018

作者： Akkasaligar, Prema T. biradar, sunanda badiger, sharan Department of Computer Science and Engineering BLDEA’s V.P. Dr. P.G. H. College of Engineering and Technology VijayapurKarnataka India Department of Medicine BLDEDU’s Sri. B. M. Patil Medical College and Research Centre VijayapurKarnataka India

ISBN: (纸本)9789811391835

The computer-aided diagnostic system has become an important issue in clinical diagnosis. Development of new technologies and use of various imaging modalities have raised more challenging issues. The major issue is processing and analyzing a significantly large volume of image data, to generate qualitative information for diagnosis and treatment of diseases. Medical imaging, particularly ultrasound imaging is one of the commonly used diagnostic tool by medical experts. segmenting a region of interest in medical ultrasound image is a difficult task because of variation in object shape, orientation and image quality. In the present study, initially preprocessing of kidney ultrasound images is performed using contourlet transform and contrast enhancement using histogram equalization. The proposed method focuses on segmentation of kidney stones in preprocessed medical ultrasound images using level set method. The developed method shows better performance in segmenting renal calculi in medical ultrasound images of the kidney. The experimental results demonstrate the effectiveness of the developed software module. © springer Nature singapore Pte Ltd. 2019.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Genomic Instability and shear stress Influence Nanoparticle-Induced Endothelial Cell Responses and Gene Expression

SSRN

引用

ssRN 2025年

作者： Abdelkader, Yasmin Abdelkarim, Mahmoud suresh, Madhumita Lopera, Tulio J. Dhaliwal, simranpreet shojaei, shahla Pope, Lucas J. Liu, Qian Hu, Pingzhao Haga, Hisashi Thu, Kelsie L. Giunta, simona Ishihara, seiichiro Anikovskiy, Max Labouta, Hagar I. Leslie Dan Faculty of Pharmacy University of Toronto TorontoONM5S 3M2 Canada The Keenan Research Centre for Biomedical Science of St. Michael’s Hospital Unity Health Toronto University of Toronto TorontoONM5B 1T8 Canada Institute of Biomedical Engineering University of Toronto TorontoONM5S 3G9 Canada College of Pharmacy University of Manitoba WinnipegMBR3E 0T5 Canada Department of Chemistry University of Calgary CalgaryABT2N 1N4 Canada Department of Applied Computer Science University of Winnipeg ManitobaR3B 2E9 Canada Department of Biochemistry Western University LondonONN6G 1G8 Canada Faculty of Advanced Life Science Hokkaido University Sapporo060-0810 Japan Department of Laboratory Medicine and Pathobiology University of Toronto TorontoONM5S 1A8 Canada Department of Biology and Biotechnologies Charles Darwin Sapienza University of Rome 00185 Italy

Little is known about endothelial cell responses to nanoparticles under conditions simulating dysfunctional endothelium, a hallmark of vascular diseases, cancer, and aging. Endothelial genomic abnormalities and shear stress on the endothelial cells due to blood flow are key components of this microenvironment. Using organ-on-a-chip technologies and transcriptomics, we investigated the effects of genomic instability and shear stress on endothelial cell-level and RNA-level responses to Cdse/Zns and InP/Zns quantum dots (QDs). Monastrol-induced genomic instability in HUvEC cells (mt-HUvEC) served as our model. Transcriptomic analysis revealed downregulation of cell cycle checkpoint protein (cdc20) in mt-HUvEC under both static and dynamic conditions. Cdse/Zns QD exposure under dynamic conditions caused downregulation of the adherens junction pathway, correlating with higher uptake, and upregulation of heat shock and inflammatory response pathways. In contrast, InP/Zns QDs upregulated tight junctions, explaining lower uptake. both QDs induced apoptotic pathway upregulation, with Cdse/Zns QDs having more detrimental effects on viability. Combining genomic instability and shear stress to mimic tumor microenvironments prominently downregulated cell cycle and division pathways. These findings guide future studies to better characterize endothelial responses to nanoparticles under biologically relevant conditions. © 2025, The Authors. All rights reserved.

关键词： shear stress

来源：评论

学校读者我要写书评

暂无评论

Robust and Generalisable segmentation of subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

arXiv

引用

arXiv 2023年

作者： spitzer, Hannah Ripart, Mathilde Fawaz, Abdulah Williams, Logan Z.J. Project, Meld Robinson, Emma Iglesias, Juan Eugenio Adler, sophie Wagstyl, Konrad Institute of Computational Biology Helmholtz Center Munich Munich85764 Germany University Hospital LMU Munich Munich Germany Department of Developmental Neuroscience UCL Great Ormond Street Institute for Child Health LondonWC1N 1EH United Kingdom Department of Biomedical Engineering School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom Martinos Center for Biomedical Imaging MGH & Harvard Medical School United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Boston02139 United States Centre for Medical Image Computing University College London LondonWC1V 6LJ United Kingdom Wellcome Centre for Human Neuroimaging University College London LondonWC1N 3AR United Kingdom

Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. "Ground truth" manual lesion masks are therefore expensive, limited and have large inter-rater variability. Existing FCD detection methods are limited by high numbers of false positive predictions, primarily due to vertex- or patch-based approaches that lack whole-brain context. Here, we propose to approach the problem as semantic segmentation using graph convolutional networks (GCN), which allows our model to learn spatial relationships between brain regions. To address the specific challenges of FCD identification, our proposed model includes an auxiliary loss to predict distance from the lesion to reduce false positives and a weak supervision classification loss to facilitate learning from uncertain lesion masks. On a multi-centre dataset of 1015 participants with surface-based features and manual lesion masks from structural MRI data, the proposed GCN achieved an AUC of 0.74, a significant improvement against a previously used vertex-wise multi-layer perceptron (MLP) classifier (AUC 0.64). With sensitivity thresholded at 67%, the GCN had a specificity of 71% in comparison to 49% when using the MLP. This improvement in specificity is vital for clinical integration of lesion-detection tools into the radiological workflow, through increasing clinical confidence in the use of AI radiological adjuncts and reducing the number of areas requiring expert review. © 2023, CC bY.

关键词： brain

来源：评论

学校读者我要写书评

暂无评论

Perturbation theory-aided learned digital back-propagation scheme for optical fiber nonlinearity compensation

arXiv

引用

arXiv 2021年

作者： Lin, Xiang Luo, shenghang soman, sunish Kumar Orappanpara Dobre, Octavia A. Lampe, Lutz Chang, Deyuan Li, Chuandong Faculty of Engineering and Applied Science Memorial University St. John’sNLA1B 3X5 Canada Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada School of Engineering Ulster University Jordanstown BT37 0QB United Kingdom Huawei Technologies Canada OttawaONK2K 3J1 Canada

Derived from the regular perturbation treatment of the nonlinear schrödinger equation, a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity is proposed. Referred to as the perturbation theory-aided (PA) learned digital back propagation (LDbP), the proposed scheme constructs a deep neural network (DNN) in a way similar to the split-step Fourier method: linear and nonlinear operations alternate. Inspired by the perturbation analysis, the intra-channel cross phase modulation term is conveniently represented by matrix operations in the DNN. The introduction of this term in each nonlinear operation considerably improves the performance, as well as enables the flexibility of PA-LDbP by adjusting the numbers of spans per step. The proposed scheme is evaluated by numerical simulations of a single-carrier optical fiber communication system operating at 32 Gbaud with 64-quadrature amplitude modulation and 20 × 80 km transmission distance. The results show that the proposed scheme achieves approximately 3.5 db, 1.8 db, 1.4 db, and 0.5 db performance gain in terms of Q2 factor over the linear compensation, when the numbers of spans per step are 1, 2, 4, and 10, respectively. Two methods are proposed to reduce the complexity of PA-LDbP, i.e., pruning the number of perturbation coefficients and chromatic dispersion compensation in the frequency domain for multi-span per step cases. Investigation of the performance and complexity suggests that PA-LDbP attains improved performance gains with reduced complexity when compared to LDbP in the cases of 4 and 10 spans per step. © 2021, CC bY-NC-ND.

关键词： backpropagation

来源：评论

学校读者我要写书评

暂无评论

Fully three-dimensional sound speed-corrected multi-wavelength photoacoustic breast tomography

arXiv

引用

arXiv 2023年

作者： Dantuma, M. Lucka, F. Kruitwagen, s.C. Javaherian, A. Alink, L. Pompe van Meerdervoort, R.P. Nanninga, M. Op't Root, T.J.P.M. De santi, b. budisky, J. bordovsky, G. Coffy, E. Wilm, M. Kasponas, T. Aarnink, s.H. de Geus-Oei, L.F. brochin, F. Martinez, T. Michailovas, A. Muller Kobold, W. Jaros, J. veltman, J. Cox, b. Manohar, s. Multi-Modality Medical Imaging group TechMed Centre University of Twente Enschede Netherlands Computational Imaging Centrum Wiskunde & Informatica Amsterdam Netherlands Department of Computer Science University College London London United Kingdom Medisch Spectrum Twente Hospital Enschede Netherlands Department of Medical Physics and Biomedical Engineering University College London London United Kingdom P.A. Imaging R&D B.V. Enschede Netherlands Department of Computer Systems Faculty of Information Technology Brno University of Technology Brno Czech Republic Imasonic SAS Voray-sur-l'Orgnon France Ekspla UAB Vilnius Lithuania Biomedical Photonic Imaging group University of Twente Enschede Netherlands Department of Radiology Leiden University Medical Center Leiden Netherlands Center for Physical Science and Technology Vilnius Lithuania Department of Radiology Ziekenhuisgroep Twente Hengelo Netherlands

Photoacoustic tomography is a contrast agent-free imaging technique capable of visualizing blood vessels and tumor-associated vascularization in breast tissue. While sophisticated breast imaging systems have been recently developed, there is yet much to be gained in imaging depth, image quality and tissue characterization capability before clinical translation is possible. In response, we have developed a hybrid photoacoustic and ultrasound-transmission tomographic system (PAM3). The photoacoustic component has for the first time three-dimensional multi-wavelength imaging capability, and implements substantial technical advancements in critical hardware and software subsystems. The ultrasound component enables for the first time, a three-dimensional sound speed map of the breast to be incorporated in photoacoustic reconstruction to correct for inhomogeneities, enabling accurate target recovery. The results demonstrate the deepest photoacoustic breast imaging to date (48 mm),with a more uniform field of view than hitherto, and an isotropic spatial resolution that rivals that of Magnetic Resonance Imaging. The in vivo performance achieved, and the diagnostic value of interrogating angiogenesis-driven optical contrast as well as tumor mass sound speed contrast, gives confidence in the system's clinical potential. © 2023, CC bY.

关键词： Photoacoustic effect

来源：评论

学校读者我要写书评

暂无评论

Characterization of waste from the ornamental stone processing for incarnation in clay ceramics

引用

Materials Today: Proceedings 2023年

作者： surrya Prakash Dillibabu Lava Kumar Polisetty A. Ramesh Kumar K.C. Nithin Kumar R. Arun Kumar v. Raviteja Kanakala v. Prabhu Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu 600062 India Department of Mechanical Engineering CVR College of Engineering Vastunagar Mangalpalli (V) Ibrahimpatnam (M) Rangareddy (D) Telangana 501 510 India Department of Mechatronics Engineering K.S.Rangasamy College of Technology (Autonomous) Namakkal Tamil Nadu 637215 India Department of Mechanical Engineering Graphic Era Deemed to be University Dehradun Uttarakhand 248002 India Department of Mechanical Engineering Sri Krishna College of Engineering and Technology Kuniyamuthur Tamil Nadu 641008 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh 522502 India Department of Mechanical Engineering Sri Sai Ram Engineering College Chennai Tamil Nadu India

Recently, new technologies are introduced to minimize the disorderly disposal of waste, not only from the processing of ornamental stones (Os), but also from other industrial sectors. A technological alternative to reduce the environmental impact and recycle waste is its incarnation into clayey ceramic products. This solution can improve the properties of the final product. some studies using granite residues, from sawing blocks, showed great potential for their use in red ceramics, due to their characteristics such as a high content of alkaline oxides , fine granulometry , and low cost. The goal of this work is to characterize the residues from the processing of Os, with the aim to incarnate into clayey ceramics. The characterization will contribute to the knowledge of the residue (mud) and, through this fact, will favor the study of a possible solution to the problem of disposal of mud generated in the sawing of rocks, besides contributing to the practice of sustainable development , and the consequent use of waste discarded as unusable.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Roadmap on Neuromorphic Photonics

arXiv

引用

arXiv 2025年

作者： brunner, Daniel shastri, bhavin J. Al-Qadasi, Mohammed A. ballani, H. barbay, sylvain biasi, stefano bienstman, Peter bilodeau, simon bogaerts, Wim böhm, Fabian brennan, G. buckley, sonia Cai, Xinlun strinati, Marcello Calvanese Canakci, b. Charbonnier, benoit Chemnitz, Mario Chen, Yitong Cheung, stanley Chiles, Jeff Choi, suyeon Christodoulides, Demetrios N. Chrostowski, Lukas Chu, J. Clegg, J.H. Cletheroe, D. Conti, Claudio Dai, Qionghai Di Lauro, Luigi Diamantopoulos, Nikolaos-Panteleimon Dinc, Niyazi Ulas Ewaniuk, Jacob Fan, shanhui Fang, Lu Franchi, Riccardo Freire, Pedro Gentilini, silvia Gigan, sylvain Giorgi, Gian Luca Gkantsidis, C. Gladrow, J. Goi, Elena Goldmann, M. Grabulosa, A. Gu, Min Guo, Xianxin Hejda, Matěj Horst, F. Hsieh, Jih-Liang Hu, Jianqi Hu, Juejun Huang, Chaoran Hurtado, Antonio Jaurigue, Lina Kalinin, K.P. Kamalian-Kopae, Morteza Kelly, D.J. Khajavikhan, Mercedeh Kremer, H. Laydevant, Jeremie Lederman, Joshua C. Lee, Jongheon Lenstra, Daan Li, Gordon H.Y. Li, Mo Li, Yuhang Lin, Xing Lin, Zhongjin Lis, Mieszko Lüdge, Kathy Lugnan, Alessio Lupo, Alessandro Lvovsky, A.I. Manuylovich, Egor Marandi, Alireza Marchesin, Federico Massar, serge McCaughan, Adam N. McMahon, Peter L. Moralis-Pegios, Miltiadis Morandotti, Roberto Moser, Christophe Moss, David J. Mukherjee, Avilash Nikdast, Mahdi Offrein, b.J. Oguz, Ilker Oripov, bakhrom O'shea, G. Ozcan, Aydogan Parmigiani, F. Pasricha, sudeep Pavanello, Fabio Pavesi, Lorenzo Peserico, Nicola Pickup, L. Pierangeli, Davide Pleros, Nikos Porte, Xavier Primavera, bryce A. Prucnal, Paul Psaltis, Demetri Puts, Lukas Qiao, Fei Rahmani, b. Raineri, Fabrice Ríos Ocampo, Carlos A. Robertson, Joshua Romeira, bruno Roques-Carmes, Charles Rotenberg, Nir Rowstron, A. schoenhardt, steffen schwartz, Russell L.T. shainline, Jeffrey M. shekhar, sudip skalli, A. sohoni, Mandar M. sorger, volker J. soriano, Miguel C. spall, James stabile, Ripalta stiller, birgit sunada, satoshi Tefas, Anastasios Tossoun, bassem Tsakyridis, Apostolos Turitsyn, sergei K. van der sande, G Université Marie et Louis Pasteur CNRS UMR 6174 Institut FEMTO-ST Besançon25000 France Centre for Nanophotonics Department of Physics Engineering Physics & Astronomy Queen's University Canada Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada Microsoft Research Cambridge United Kingdom Université Paris-Saclay CNRS Centre de Nanosciences et de Nanotechnologies France Nanoscience Laboratory Department of Physics University of Trento Italy Photonics Research Group Department of Information Technology Ghent University imec Belgium Princeton University NJ United States Hewlett Packard Labs Hewlett Packard Enterprise Böblingen Germany National Institute of Standards and Technology BoulderCO United States State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-sen University China Enrico Fermi Research Center Rome Italy Université Grenoble-Alpes CEA Leti Grenoble France Leibniz-Institute of Photonic Technology Jena Germany Institute of Applied Optics and Biophysics Jena Germany Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering North Carolina State University NC United States Department of Electrical Engineering Stanford University CA United States University of Southern California Los AngelesCA United States Department of Physics Sapienza University Rome Italy Institute for Complex Systems National Research Council Rome Italy Varennes Canada NTT Device Technology Labs NTT Corporation Kanagawa Atsugi Japan Institute of Electrical and Microengineering School of Engineering École Polytechnique Fédérale de Lausanne Switzerland Edward L. Ginzton Laboratory Stanford University StanfordCA United States Department of Electronic Engineering Tsinghua University China Beijing National Research Center for Information Science and Technology Tsinghua University China Aston Univ

Neuromorphic photonics are processors inspired by the human brain and enabled by light (photons) instead of traditional electronics. Neuromorphic photonics and its associated concepts are experiencing a significant resurgence, building on foundational research from the 1980s and 1990s. This renewed momentum is driven by breakthroughs in photonic integration, nonlinear optics, and advanced materials, alongside the growing necessity of neuro-inspired computing in numerous applications of economic and societal relevance. The increasing demand for energy-efficient artificial intelligence (AI) solutions underscores the need for innovation and a cohesive vision to address key challenges, including scalability, energy efficiency, precision, and standardized performance benchmarks. Together, these efforts present an opportunity to establish a unique photonic advantage with practical, real-world applications. This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field. The roadmap introduces various approaches to embedding the high-complexity transformations central to neuromorphic computing, focusing on frequency, delay, and spectral embeddings. This is followed by a discussion of architectures of photonic neural networks (PNNs) and an in-depth analysis of methods for implementing these architectures in photonic hardware. Dedicated sections delve into integrated photonic hardware, the realization of photonic weights and memories, and the optimization of training processes for photonic neuromorphic architectures. The roadmap concludes by exploring numerous potential applications, highlighting the challenges and advances necessary to transition neuromorphic photonic computing from a primarily academic pursuit to a technolog

关键词： Philosophical aspects

来源：评论

学校读者我要写书评

暂无评论

Thermal management of Pv panel through the circulation of a nano-MgO/water-based nanofluid

引用

Materials Today: Proceedings 2023年

作者： sK. Fakruddin babavali N.s.M.P. Latha Devi seeniappan Kaliappan Neha Garg v. Nagalakshmi N.R. Rajagopalan Department of Physics V.R. Siddhartha Engineering College Vijayawada Andhra Pradesh 500007 India Department of Engineering Physics Koneru Lakshmaiah Education Foundation (KLEF)Vaddeswaram Andhra Pradesh 522302 India Department of Mechatronics Engineering KCG College of Technology KCG Nagar Karapakkam Chennai-600097 Tamil Nadu India Department of Computer Science And Engineering Graphic Era Deemed to be University Dehradun Uttarakhand 248002 India Department of Chemistry Ch.S.D.St. Theresa’s College for Women (A) Eluru Andhra Pradesh 534003 India Department of Chemistry St. Joseph's College of Engineering Chennai Tamil Nadu 600119 India

since conventional fossil fuels are used up at the extreme, alternate sustainable green energy sources become more popular for producing power. Among the most common ways to produce power is using solar Pv technology. However, a s a result of overheating of the panels, the efficiency of Pv panels drops during the hot sunny days all over the year, owing to the peak irradiance of the sun. Hence, solar Pv’s efficiency may be increased through the right cooling system by reducing the Pv temperature. To alleviate the problems caused by the overheating of the solar panels, this current study investigates the potential of using a nanofluid based on nano-MgO/water. The nanofluid has been synthesized by dispersing MgO nanoparticles at a concentration of 0.3% in the water after distillation. After a whole day of investigation, the temperature of the solar Pv using nano-MgO/water nanofluid had been noticed as 35 °C, in contrast the temperature of the conventional Pv panel was found as 78 °C. In addition, the minimized temperature differences through the deployment of nano-MgO/water nanofluid also led to a 16.9% enhancement in overall electrical efficacy of the panel.

关键词： solar panel nano-MgO/water Nanofluid solar panel temperature solar panel thermal management

来源：评论

学校读者我要写书评

暂无评论

Direct Observation of Fractal-Dimensional Percolation in the 3D Cluster Dynamics of a Ferroelectric supercrystal

引用

Physical Review Letters 2021年第3期126卷 037601-037601页

作者： Ludovica Falsi Marco Aversa Fabrizio Di Mei Davide Pierangeli Feifei Xin Aharon J. Agranat Eugenio DelRe Dipartimento di Fisica Università di Roma “La Sapienza” 00185 Rome Italy Dipartimento S.B.A.I. Sezione di Fisica “Sapienza” Università di Roma I-00161 Roma Italy College of Physics and Materials Science Tianjin Normal University 300387 Tianjin China The Brojde Center for Innovative Engineering and Computer Science The Hebrew University Jerusalem 91904 Israel ISC-CNR Università di Roma “La Sapienza” 00185 Rome Italy

We perform percolation analysis of crossed-polarizer transmission images in a biased nanodisordered bulk KTN:Li perovskite. Two distinct percolative transitions are identified at two electric field thresholds. The low-field transition involves a directional fractal chain of dimension D=1.65, while the high-field transition has a dimension D>2. Direct cluster imaging in the volume is achieved using high-resolution orthographic 3D projections based on giant refraction. Percolation is attributed to a full-3D domain reorientation that mediates the transition from a ferroelectric supercrystal state to a disordered domain mosaic.

关键词： Percolation Phase transitions Photonics Ferroelectrics Perovskites Fractal analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：