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Design and System (IEDS), International EOS/ESD Symposium on

作者： Xinyu Zhu Fangjun Yu Feifan Deng Yipeng Chen Shurong Dong Key Laboratory of Micro-nano Electronic Devices and Smart Systems of Zhejiang Province College of Information Science & Electronic Engineering Zhejiang University Hangzhou China

Neural network modeling method for predicting the electro-static discharge (ESD) window of Gate-Grounded NMOS (GGNMOS) is introduced in this work. Compared with TCAD simulation, the time consumption is reduced by 6 or... 详细信息

ISBN: (数字)9781585373383

ISBN: (纸本)9781665469814

关键词： Neural networks Predictive models Logic gates Electrostatic discharges Discharges (electric) MOS devices

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Rapid FSS Design Method Based on Fourier Transform

Rapid FSS Design Method Based on Fourier Transform

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Qiu, Huanran Han, Jiaqi Feng, Qiang Xi, Rui Li, Ying Chen, Hongsheng Zheng, Bin Li, Long Xidian University Hangzhou Institute of Technology Hangzhou311200 China Xidian University Key Laboratory of High-Speed Circuit Design EMC of Ministry of Education School of Electronic Engineering Xi'an710071 China The Electromagnetics Academy Zhejiang University Zhejiang University International Joint Innovation Center Haining314400 China Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua China Institute of Zhejiang University Zhejiang University Jinhua321099 China Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing312000 China

ISBN: (纸本)9798350375909

This article presents a rapid frequency selective surface (FSS) design method based on Fourier transform. The method aims to overcome the complexity and reduce the time consumption associated with the massive input simulation datasets in traditional design processes, providing an efficient and automated design solution. By introducing Fourier transform, the amount of simulation datasets can be significantly simplified, enhancing the speed and accuracy of neural network training. The method improves precision and speed in handling tasks with multiple parameters, offering an effective tool for fast FSS design. With the aid of neural network construction, users only need to input the desired simulation result curve, and the neural network model will quickly output optimal FSS structure parameters. This approach ensures design accuracy and stability while greatly increasing the efficiency of FSS design. © 2024 IEEE.

关键词： Neural network models

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A Design of Tunable High-Impedance Surface (HIS) Based on Hybrid Metal-Graphene Structure

A Design of Tunable High-Impedance Surface (HIS) Based on Hy...

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IEEE Asia-Pacific Conference on Antennas and Propagation

作者： Wen-Sheng Zhao Da-Wei Wang Gaofeng Wang Wen-Yan Yin Key Lab of RF Circuits and Systems of Ministry of Education School of Electronics & Information Hangzhou Dianzi University Innovative Institute of Electromagnetic Information and Electronic Integration Key Lab of Advanced Micro-Nano Electronic Devices and Smart Systems of Zhejiang Province Zhejiang University

ISBN: (纸本)9781538616093

A tunable high-impedance surface (HIS) based on hybrid metal-graphene structure is presented for terahertz (THz) applications. Its tunable properties and relative performance are studied by the proposed LE-FDTD method. At the same time, the equivalent circuit model is derived to give a theoretical explanation. Good performance is obtained in terms of bandwidth, gain, and tunability. The proposed structures are practical and potential for THz applications.

关键词： Surface impedance home information system terahertz HYBRID Hybrid electric vehicles proposed structure

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Hybrid surface waves in twisted anisotropic heterometasurfaces

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Physical Review Applied 2024年第6期21卷 064034-064034页

作者： Xinyan Zhang Chenxu Bian Zheng Gong Ruoxi Chen Tony Low Hongsheng Chen Xiao Lin Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and Instrumentation International Joint Innovation Center The Electromagnetics Academy at Zhejiang University Department of Electrical and Computer Engineering Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua Institute of Zhejiang University Shaoxing Institute of Zhejiang University

Recent advances in twisted photonic structures (e.g., twisted bilayer graphene and twisted anisotropic metasurfaces) have enabled many exotic phenomena of light-matter interactions, such as topological transition of the isofrequency contour of surface waves at the magic angle, photonic flatbands, and localization-to-delocalization transition of light. In general, the optical features of these twisted photonic structures are sensitive to the interlayer twist angle. Here we investigate the mode hybridization of surface waves supported by twisted bilayer anisotropic heterometasurfaces, whose two constituent metasurfaces are nonidentical and support surface waves with similar spatial confinements but distinct polarizations. Counterintuitively, we find that the shape of the isofrequency contour of these hybrid surface waves—eigenmodes with both transverse magnetic and transverse electric wave components—can be insensitive to the twist angle, due to the weak interlayer electromagnetic coupling. Moreover, the interlayer distance provides a unique route to reshape the dispersion of one specific kind of hybrid surface wave, while it has negligible influence on the other kinds. Our finding enriches the physics of light-matter interactions in twisted photonic structures and may open new possibilities to mold the flow of light at the subwavelength scale.

关键词： Classical optics Light-matter interaction Metamaterials Metasurfaces Near-field optics Photonics Plasmonics Van der Waals interaction

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Massively Parallel Electromagnetic-Thermal Cosimulation of Large Antenna Arrays

Massively Parallel Electromagnetic-Thermal Cosimulation of L...

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作者： Zhang, Hao-Xuan Huang, Li Wang, Wei-Jie Zhao, Zhen-Guo Zhou, Liang Chen, Wenchao Zhou, Haijing Zhan, Qiwei Kolundzija, Branko Yin, Wen-Yan Key Laboratory of Ministry of Education of Design and EMC of High-Speed Electronic Systems Centre for Microwave and RF Technologies Shanghai Jiao Tong University Shanghai China Institute of Applied Physics and Computational Mathematics Beijing China Key Laboratory of Advanced Micro-Nano Electronic Devices and Smart Systems of Zhejiang Province Innovative Institute of Electromagnetic Information and Electronic Integration College of Information Science and Electronic Engineering Zhejiang University Hangzhou China School of Electrical Engineering University of Belgrade Belgrade Serbia

Electromagnetic-thermal cosimulation of large antenna arrays is performed by using a supercomputing-based parallel domain decomposition method. In this letter, frequency-domain electromagnetic and thermal fields are solved self-consistently and then coupled via Joule heat and temperature-dependent material properties. The developed cosimulation solver is first validated with the commercial software COMSOL Multiphysics. Then, the parallel performance of our in-house developed code is examined in terms of scalability and efficiency. Finally, the temperature distributions over large-scale antenna arrays are obtained by our proposed solver in a highly efficient manner. © 2002-2011 IEEE.

关键词： Finite element method

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Nonlinear all-optical modulator based on non-Hermitian PT symmetry

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Photonics Research 2022年第4期10卷 980-988页

作者： Hongbin Ma Dongdong Li Nanxuan Wu Yiyun Zhang Hongsheng Chen Haoliang Qian Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationCollege of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices&Smart Systems of ZhejiangZhejiang UniversityHangzhou 310027China International Joint Innovation Center ZJU-UIUC InstituteZhejiang UniversityHaining 314400China

All-optical modulators with ultrahigh speed are in high demand due to the rapid development of optical interconnection and computation. However, due to weak photon–photon interaction, the advancement of all-optical modulators is consequently hampered by the large footprint and high power consumption. In this work, the enhanced sensitivity around an exceptional point(EP) from parity-time(PT) symmetry theory is initiatively introduced into a nonlinear all-optical modulator design. Further, a non-Hermitian all-optical modulator based on PT symmetry is proposed, which utilizes the large Kerr nonlinearity from indium tin oxide(ITO) in its epsilon-near-zero(ENZ) region. The whole system is expected to operate around EP, giving rise to the advantages of nanoscale integration and large modulation depth. This presented modulator with high efficiency and high-speed all-optical control can be commendably extended to the design methodology of various nanostructures and further prompt the development of all-optical signal processing.

关键词： modulator optical interconnection

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Driving deep-learning-based metasurface design with Kramers-Kronig relations

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Physical Review Applied 2024年第4期22卷 L041002页

作者： Guangfeng You Chao Qian Shurun Tan Erping Li Hongsheng Chen ZJU-UIUC Institute Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and Instrumentation ZJU-Hangzhou Global Science and Technology Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Jinhua Institute of Zhejiang University

Two-decade strides in metasurfaces have enabled a multitude of theoretical breakthroughs and experimental discoveries that outride established comprehension. Deep learning has recently found favor for expediting metasurface design and unearthing complex light-matter interactions, in contrast to resource-intensive numerical simulations. However, most “black box” algorithms lack enough discernment on parsing internal physical connections. Here, we propose a physical adversary channel to be complementary to gradient descent channel by embedding the Kramers-Kronig (KK) relations into a neural network, quantifying the inherent spectral contradictions at the output side. We evaluate the superiority of the KK-driven neural network in forward prediction and inverse metasurface design by modifying loss function and shaping probability distribution in latent space, respectively. The exceptional outcome suggests that the similarity between output and given spectra reaches up to 99.8% and maintains an extremely high fidelity even in a mutant band. Our work provides a physically explicable perspective to explain “black box” models, possibly reviving intelligent metasurface applications.

关键词： Inverse problems Artificial neural networks Metamaterials Metasurfaces Deep learning Electromagnetic wave theory

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Novel Surface Acoustic Wave Strain Sensor with Enhanced High-Temperature Performance and Resistance to Aging

Novel Surface Acoustic Wave Strain Sensor with Enhanced High...

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2023 International Congress on Ultrasonics, ICU Beijing 2023

作者： Zhang, Jikai Mu, Danyu Zhang, Zichao Jin, Hao Chen, Jinkai Xuan, Weipeng Dong, Shurong Luo, Jikui Zhejiang University Hangzhou310027 China Innovation and Research Institute of HIWING Technology Academy Beijing100074 China Zhejiang University Key Laboratory of Micro-nano Electronic Devices and Smart Systems of Zhejiang Province College of Information Science & Electronic Engineering Hangzhou310027 China Ministry of Education Key Laboratory of RF Circuits and Systems College of Electronics & Information Hangzhou Dianzi University Hangzhou310027 China Zhejiang University Key Laboratory of Collaborative sensing and autonomous unmanned systems of Zhejiang Province College of Information Science & Electronic Engineering Hangzhou310027 China

Surface acoustic wave (SAW) sensors based on Langasite (La3Ga5SiO14, LGS) have emerged as promising candidates for high-temperature strain measurement in passive wireless systems. However, limitations of strain transfer at temperatures above 800°C have hindered the repeatability of sensors due to temperature-induced effects. For instance, the aging of conventional high-temperature adhesives at elevated temperatures restricts the strain transfer between the measured object and the sensor. Moreover, materials like Inconel-600 exhibit a coefficient of thermal expansion significantly larger than the LGS, leading to thermal strains caused by thermal expansion mismatch beyond the maximum range of existing SAW strain sensors. Such factors increase the likelihood of sensor damage during a test. In this paper, we present a novel SAW sensor utilizing an ultra-thin LGS substrate encapsulated within a ceramic coating, which transfers strain by exerting pressure on both sides of the sensor. The strain sensor is mounted on an equal-strain beam inside a high-temperature furnace. The ceramic coating is not tightly bonded to the sensor, thereby mitigating the thermal expansion mismatch between the sensor and the beam at high temperatures. Furthermore, the ceramic coating can withstand large strain caused by thermal expansion while maintaining pressure on the sensor. This innovative SAW sensor enables repeat strain tests up to 800°C, including both calibration and formal tests. The measured strain exhibits an error of less than 5% compared to a standard strain gauge, demonstrating the sensor's enhanced performance and reliability. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Ceramic materials

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High-Power Triboelectric nanogenerators by Using In-Situ Carbon Dispersion Method for Energy Harvesting and Self-Powered Wireless Control

SSRN

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SSRN 2022年

作者： Zhang, Zhao Zhang, Qilong Zhou, Zheng Wang, Jing Kuang, Haoze Shen, Qianhong Yang, Hui School of Materials Science and Engineering State Key Lab Silicon Mat Zhejiang University 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

In the era of the Internet of Things (IoT), various wearable electronic devices and sensors are widely used in the production and life of society. Due to its energy conversion characteristics, the flexible triboelectric nanogenerator (TENG) can not only act as a sensor device, but also solve energy supply problems. Here, a high-performance TiO2/carbon (TC) nanostructures-based TENG is proposed for the first time. Unlike the carbon-based conductive materials introduced by blending, the carbon in this work is embedded in TiO2 in situ by a simple solvothermal and heat treatment method, which has excellent dispersibility and stability. After introducing TC hybrid particles into PDMS, the electron affinity, dielectric constant, and surface roughness of the composite film have been significantly improved, which makes the TC-TENG exhibit an excellent power density (75.2 W m-2). In applications, the TC-PDMS composites TENGs can effectively harvest energy from human motions, and power electronic devices (LED lights, calculators and thermo-hygrometers). Importantly, a 6-bit array (2×3) digital touch board based on the TC-TENG is constructed for self-powered wireless control, which can control electronics products up to 10 meters away. Our work gives a compelling way for the energy harvest and self-powered wireless control of electronic devices. © 2022, The Authors. All rights reserved.

关键词： nanogenerators

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Design of a Double-layer Miniaturized Metamaterial Absorber in 5G Millimeter-wave Band

Design of a Double-layer Miniaturized Metamaterial Absorber ...

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International Conference on microwave and Millimeter Wave Technology Proceedings

作者： Yunxi Wu Yan Li Erping Li Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province China Jiliang University Zhejiang China Key Laboratory of Advanced Micro-Nano Electronic Devices & Smart Systems and Applications Zhejiang University Zhejiang China

A double-layer miniaturized metamaterial absorber based on the indium-tin-oxide (ITO) resistive film in a 5G millimeter-wave band is proposed in this paper. Its core structure is implemented by two layers. The first layer is a glass substrate with ITO resistive film attached, and another ITO is attached to the FR-4 substrate in the second layer. The simulation results reveal that under the conditions of transverse electric or transverse magnetic polarization, the absorption efficiency of the designed structure exceeds 90% in the bandwidth of 23.3GHz ~ 35.2GHz, and reaches the peak of nearly 100% at the resonant point of 28GHz. Further analysis shows that the absorption performance of the incident angle from 0° to 40° can reach more than 90% in the operating frequency, which is relatively stable.

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