Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343436
Enze Zhu, Xingxing Xu, Zhun Wei, W. Yin, Ruilong Chen
Recently, artificial neural network (ANN) attracts intensive attentions on solving electromagnetic (EM) inverse problems. In an inverse design of frequency selective surface (FSS) model with ANN, the inputs are S-parameters, while the outputs are structure parameters or material parameters. However, faced with applications where S-parameters vary in a large frequency range with different curve shapes, such as multi-band microwave devices, simple sampling with equal spacing may cause the input dimension to be too large and will require more complex neural network. In this paper, a cognition-driven sampling method is introduced to solve this problem. A parameter-extraction modeling of dual-passband FSS using both equidistant sampling and proposed method is presented and the well-designed FSS is further fabricated to validate the technique.
{"title":"Dual-Band FSS Inverse Design Using ANN with Cognition-Driven Sampling","authors":"Enze Zhu, Xingxing Xu, Zhun Wei, W. Yin, Ruilong Chen","doi":"10.1109/NEMO49486.2020.9343436","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343436","url":null,"abstract":"Recently, artificial neural network (ANN) attracts intensive attentions on solving electromagnetic (EM) inverse problems. In an inverse design of frequency selective surface (FSS) model with ANN, the inputs are S-parameters, while the outputs are structure parameters or material parameters. However, faced with applications where S-parameters vary in a large frequency range with different curve shapes, such as multi-band microwave devices, simple sampling with equal spacing may cause the input dimension to be too large and will require more complex neural network. In this paper, a cognition-driven sampling method is introduced to solve this problem. A parameter-extraction modeling of dual-passband FSS using both equidistant sampling and proposed method is presented and the well-designed FSS is further fabricated to validate the technique.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130168747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343586
Pengju Yang, Wenjing Mu, R. Wu
A model of dynamic nonlinear sea surfaces damped by natural sea slicks is presented. Lombardini et al. model is adopted for predicting the hydrodynamic damping of sea surfaces in the presence of natural sea slicks, and "choppy wave model" (CWM) nonlinear sea surface is utilized for describing the nonlinear interactions between ocean waves. On this basis, the influence of sea slicks’ damping on Doppler spectrum of backscattered echoes from contaminated sea surface is investigated by comparison with that from clean sea surfaces. Numerical simulation shows a narrowing of the Doppler spectrum of contaminated sea surfaces compared to that of clean sea. In addition, it is also indicated that the Doppler shift in slicks can decrease or increase, depending on incidence angles.
{"title":"Investigation on Electromagnetic Scattering from Dynamic Sea Surfaces Covered by Natural Sea Slicks","authors":"Pengju Yang, Wenjing Mu, R. Wu","doi":"10.1109/NEMO49486.2020.9343586","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343586","url":null,"abstract":"A model of dynamic nonlinear sea surfaces damped by natural sea slicks is presented. Lombardini et al. model is adopted for predicting the hydrodynamic damping of sea surfaces in the presence of natural sea slicks, and \"choppy wave model\" (CWM) nonlinear sea surface is utilized for describing the nonlinear interactions between ocean waves. On this basis, the influence of sea slicks’ damping on Doppler spectrum of backscattered echoes from contaminated sea surface is investigated by comparison with that from clean sea surfaces. Numerical simulation shows a narrowing of the Doppler spectrum of contaminated sea surfaces compared to that of clean sea. In addition, it is also indicated that the Doppler shift in slicks can decrease or increase, depending on incidence angles.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"48 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343460
Jun Dai, Yikun Ding, C. Ruan
Compact, cost-effective, high-power and broadband radiation sources are required for terahertz (THz) spectroscopy and communication applications. In this paper, we present a new terahertz photomixer using a planar antenna integrated vacuum photodiode. The photocathode of the photodiode can be excited to emit high-density THz electron beams corresponding to the illuminating laser beat frequency. The electron beams can be accelerated and transported through a micron scale vacuum channel to feed an integrated broadband antenna generating continuous THz radiation into free space. The vacuum channel enables high current density operation and carrier mobility, which makes the photomixer capable of radiating high output power of milliwatt level within 0.1-2.0 THz. The latest development in the schematic design of the vacuum photomixer, design and analysis of the vacuum transistor and the broadband antenna is reviewed and discussed. Further research works will be focused on the analytical framework of the photomixer that involves photocathode modeling, charged sheets transportation in the micron scale vacuum channel, and impedance match.
{"title":"Design and Analysis of High Power, Broadband Terahertz Vacuum Photomixer Device","authors":"Jun Dai, Yikun Ding, C. Ruan","doi":"10.1109/NEMO49486.2020.9343460","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343460","url":null,"abstract":"Compact, cost-effective, high-power and broadband radiation sources are required for terahertz (THz) spectroscopy and communication applications. In this paper, we present a new terahertz photomixer using a planar antenna integrated vacuum photodiode. The photocathode of the photodiode can be excited to emit high-density THz electron beams corresponding to the illuminating laser beat frequency. The electron beams can be accelerated and transported through a micron scale vacuum channel to feed an integrated broadband antenna generating continuous THz radiation into free space. The vacuum channel enables high current density operation and carrier mobility, which makes the photomixer capable of radiating high output power of milliwatt level within 0.1-2.0 THz. The latest development in the schematic design of the vacuum photomixer, design and analysis of the vacuum transistor and the broadband antenna is reviewed and discussed. Further research works will be focused on the analytical framework of the photomixer that involves photocathode modeling, charged sheets transportation in the micron scale vacuum channel, and impedance match.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116419348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343601
Yuan Gao, Shuang Wu, Feng Qin
The attenuation of the coaxial cable plays a key role in signal analysis, especially in precise measurement field. In general, the attenuation is measured by VNA. However, it needs to bend the cable to reduce the distance between the two ports when the length is long. This way easily breaks the actual work state, and the results may be quite different from the real. Other approaches, such as theoretical model calculation method, sweep frequency test method have obvious defects such as low precision and low efficiency. In this investigation, an inverse analysis approach of regularization method is developed. Preliminary verification has been carried out with simulation and experimental work; results show that the regularization method applied has good performance in estimating the attenuation of the coaxial cable. Moreover, as the biggest influence factor, the noise is also discussed in this work
{"title":"Attenuation estimation of long coaxial cable with regularization method","authors":"Yuan Gao, Shuang Wu, Feng Qin","doi":"10.1109/NEMO49486.2020.9343601","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343601","url":null,"abstract":"The attenuation of the coaxial cable plays a key role in signal analysis, especially in precise measurement field. In general, the attenuation is measured by VNA. However, it needs to bend the cable to reduce the distance between the two ports when the length is long. This way easily breaks the actual work state, and the results may be quite different from the real. Other approaches, such as theoretical model calculation method, sweep frequency test method have obvious defects such as low precision and low efficiency. In this investigation, an inverse analysis approach of regularization method is developed. Preliminary verification has been carried out with simulation and experimental work; results show that the regularization method applied has good performance in estimating the attenuation of the coaxial cable. Moreover, as the biggest influence factor, the noise is also discussed in this work","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126511634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Surface Enhanced Raman Scattering (SERS) has become a spectroscopic detection technique widely used in many fields. This paper proposes a SERS electric field distribution prediction model based on deep learning, the average relative norm error of the test set is 3.6%. It takes about 3 minutes to perform an FDTD simulation for an Au nanosphere dimer on a high-performance server, while using the deep learning model on an ordinary PC only takes less than 0.003 seconds, which can be used as a kind of fast calculation tool in the optimization algorithm.
{"title":"SERS Prediction with Deep Learning","authors":"Zixuan Ma, Yanmeng Hu, Renmeng Cao, Mengmeng Li, Rushan Chen","doi":"10.1109/NEMO49486.2020.9343629","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343629","url":null,"abstract":"Surface Enhanced Raman Scattering (SERS) has become a spectroscopic detection technique widely used in many fields. This paper proposes a SERS electric field distribution prediction model based on deep learning, the average relative norm error of the test set is 3.6%. It takes about 3 minutes to perform an FDTD simulation for an Au nanosphere dimer on a high-performance server, while using the deep learning model on an ordinary PC only takes less than 0.003 seconds, which can be used as a kind of fast calculation tool in the optimization algorithm.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129023560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343567
Yanlei Du, Jian Yang, Shurun Tan, Xiaofeng Yang, J. Wang, Wenting Ma
The effects of roughness scale on bistatic radar scattering from an ocean surface at L-band are studied using the second order small slope approximation (SSA-II) and the method of moments (MoM). Ocean roughness is represented and varied using different ranges of the KHCC03 spectrum. The criteria of full spectrum truncation are also given. Numerical results are illustrated in fully bistatic configuration at 1.26 GHz. Simulations indicate that short waves with wavenumber larger than 316 rad/m (around 12 wavenumbers of L-band incidence wave) have little effect on ocean scattering. The large-scale waves put more impacts on scattering in the forward directions, especially for large incidence angles. The effects of large-scale roughness on ocean scattering are in general smaller at VV-pol than HH-pol. The bistatic scattering at cross polarizations is less sensitive to the roughness scale as compared to the co-polarizations. For numerical simulations of ocean scattering with incidence angle less than 60°, using small surface profiles with size about 1/6 of those accounting for full spectrum yields results of bistatic scattering coefficients with errors less than 2dB.
{"title":"Numerical Simulations of Roughness Scale Effects on Bistatic Ocean Scattering","authors":"Yanlei Du, Jian Yang, Shurun Tan, Xiaofeng Yang, J. Wang, Wenting Ma","doi":"10.1109/NEMO49486.2020.9343567","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343567","url":null,"abstract":"The effects of roughness scale on bistatic radar scattering from an ocean surface at L-band are studied using the second order small slope approximation (SSA-II) and the method of moments (MoM). Ocean roughness is represented and varied using different ranges of the KHCC03 spectrum. The criteria of full spectrum truncation are also given. Numerical results are illustrated in fully bistatic configuration at 1.26 GHz. Simulations indicate that short waves with wavenumber larger than 316 rad/m (around 12 wavenumbers of L-band incidence wave) have little effect on ocean scattering. The large-scale waves put more impacts on scattering in the forward directions, especially for large incidence angles. The effects of large-scale roughness on ocean scattering are in general smaller at VV-pol than HH-pol. The bistatic scattering at cross polarizations is less sensitive to the roughness scale as compared to the co-polarizations. For numerical simulations of ocean scattering with incidence angle less than 60°, using small surface profiles with size about 1/6 of those accounting for full spectrum yields results of bistatic scattering coefficients with errors less than 2dB.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127221206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We present in this paper a well-scaling parallel approach of the finite element-domain decomposition method (FEM-DDM) for solving large scale 3D scattering problems on many-core SW26010 processors. In this parallel approach, the whole solution domain is first decomposed in a two-level hierarchical way to minimize the inter process communication. Then the FEM matrix of each unit-level subdomain to be solved in the iterative solution of the interface problem from FEM-DDM, is solved via another sparse approximate inverse (SPAI) preconditioner accelerated iterative solver. This inner–outer iteration scheme is further accelerated by exploring many-core parallelization, with specially designed sparse matrix vector multiplications to improve the data access efficiency. The performance achievements are investigated in terms of accuracy, speed up, and scalability.
{"title":"A Well-Scaling Parallel FEM-DDM Algorithm for Electromagnetic Simulation on SW26010 Many-core Processor","authors":"Jiandong Lai, Rui-Qing Liu, Wei-Jia He, Wen Wang, Ming-lin Yang, X. Sheng","doi":"10.1109/NEMO49486.2020.9343550","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343550","url":null,"abstract":"We present in this paper a well-scaling parallel approach of the finite element-domain decomposition method (FEM-DDM) for solving large scale 3D scattering problems on many-core SW26010 processors. In this parallel approach, the whole solution domain is first decomposed in a two-level hierarchical way to minimize the inter process communication. Then the FEM matrix of each unit-level subdomain to be solved in the iterative solution of the interface problem from FEM-DDM, is solved via another sparse approximate inverse (SPAI) preconditioner accelerated iterative solver. This inner–outer iteration scheme is further accelerated by exploring many-core parallelization, with specially designed sparse matrix vector multiplications to improve the data access efficiency. The performance achievements are investigated in terms of accuracy, speed up, and scalability.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343574
Jindi Hu, Jin Huang, L. Kang, Jinzhu Zhou, Zhe Zhang, Wenhao Peng
This paper presents a flexible broadband power divider based on defect compensation that works in the 3-12GHz frequency band. In the design, the cascaded multi-section impedance converter is employed to expand the working bandwidth, at the same time, additional capacitance and inductance are introduced through the defective ground structure (DGS) to compensate for the performance of the splitter caused by bending. This paper analyzes the transmission characteristics of the flexible power divider in different directions and at different angles through numerical calculation and modeling simulation. The results show that the proposed compensation design scheme achieves a maximum insertion loss of -3.1dB within 3-12GHz, the flatness of the most in-band is less than 0.7dB, the isolation is <-15 dB. Finally, a prototype is fabricated and tested to verify the design method.
{"title":"Design of flexible broadband power divider based on defect ground compensation","authors":"Jindi Hu, Jin Huang, L. Kang, Jinzhu Zhou, Zhe Zhang, Wenhao Peng","doi":"10.1109/NEMO49486.2020.9343574","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343574","url":null,"abstract":"This paper presents a flexible broadband power divider based on defect compensation that works in the 3-12GHz frequency band. In the design, the cascaded multi-section impedance converter is employed to expand the working bandwidth, at the same time, additional capacitance and inductance are introduced through the defective ground structure (DGS) to compensate for the performance of the splitter caused by bending. This paper analyzes the transmission characteristics of the flexible power divider in different directions and at different angles through numerical calculation and modeling simulation. The results show that the proposed compensation design scheme achieves a maximum insertion loss of -3.1dB within 3-12GHz, the flatness of the most in-band is less than 0.7dB, the isolation is <-15 dB. Finally, a prototype is fabricated and tested to verify the design method.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131044410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343464
Baichuan Liu, Zhenyu Zhao, Junhong Wang
In this paper, radio wave coverage properties inside a train located in confined space are studied by using Time-Domain Finite Difference method (FDTD). The works in this paper are mainly focused on the effect of materials of train and windows on the radio wave coverage. Calculation results show that metallic train body will cause a loss about 10 dB. When using Fiber Reinforced Plastic (FRP) as train body, the loss reduces significantly. In addition, for windows, using heat-absorbing glazing leads to an extra loss about 1 dB compared to that of dielectric glass. It is concluded that train material and windows have certain impacts on the radio wave coverage inside the train and need to be further studied.
{"title":"Research on Radio Wave Coverage inside Train in Confined Space","authors":"Baichuan Liu, Zhenyu Zhao, Junhong Wang","doi":"10.1109/NEMO49486.2020.9343464","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343464","url":null,"abstract":"In this paper, radio wave coverage properties inside a train located in confined space are studied by using Time-Domain Finite Difference method (FDTD). The works in this paper are mainly focused on the effect of materials of train and windows on the radio wave coverage. Calculation results show that metallic train body will cause a loss about 10 dB. When using Fiber Reinforced Plastic (FRP) as train body, the loss reduces significantly. In addition, for windows, using heat-absorbing glazing leads to an extra loss about 1 dB compared to that of dielectric glass. It is concluded that train material and windows have certain impacts on the radio wave coverage inside the train and need to be further studied.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131536438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.1109/NEMO49486.2020.9343499
Liyang Chen, Wei Zheng, Yanhui Liu
An iterative spatiotemporal Fourier transform (STFT) method is proposed to synthesize a wideband scannable frequency-invariant (FI) pattern for a uniformly spaced linear antenna array. This method applies a modification-and-projection iteration to continuously update the synthesis results. An example for synthesizing a scannable FI pattern with uniform sidelobe level (SLL) is provided to verify the effectiveness and efficiency of the proposed method.
{"title":"Efficient Scannable Frequency-invariant Pattern Synthesis Using Iterative Spatiotemporal Fourier Transform","authors":"Liyang Chen, Wei Zheng, Yanhui Liu","doi":"10.1109/NEMO49486.2020.9343499","DOIUrl":"https://doi.org/10.1109/NEMO49486.2020.9343499","url":null,"abstract":"An iterative spatiotemporal Fourier transform (STFT) method is proposed to synthesize a wideband scannable frequency-invariant (FI) pattern for a uniformly spaced linear antenna array. This method applies a modification-and-projection iteration to continuously update the synthesis results. An example for synthesizing a scannable FI pattern with uniform sidelobe level (SLL) is provided to verify the effectiveness and efficiency of the proposed method.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131549309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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