Pub Date : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038974
Q. Didier, S. Arhab, G. Lefeuve-Mesgouez
This work proposes a comparative study between different frequency strategies for the simultaneous reconstruction of the relative dielectric permittivity and electrical conductivity of the near subsurface. Data on the electric field are generated in the framework of a ground penetrating radar (GPR) configuration. Assessing these two parameters from the data requires solving a nonlinear and ill-posed inverse problem, which is solved iteratively by a regularized Gauss-Newton (RGN) algorithm. Numerical results allow to determine an optimal strategy, for which convergence rate and computation time are reasonable, spatial resolution is improved and the two parameters are very well reconstructed.
{"title":"Comparative study between different frequency strategies for relative dielectric permittivity and electrical conductivity reconstruction. Application to near subsurface imaging","authors":"Q. Didier, S. Arhab, G. Lefeuve-Mesgouez","doi":"10.1109/NEMO51452.2022.10038974","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038974","url":null,"abstract":"This work proposes a comparative study between different frequency strategies for the simultaneous reconstruction of the relative dielectric permittivity and electrical conductivity of the near subsurface. Data on the electric field are generated in the framework of a ground penetrating radar (GPR) configuration. Assessing these two parameters from the data requires solving a nonlinear and ill-posed inverse problem, which is solved iteratively by a regularized Gauss-Newton (RGN) algorithm. Numerical results allow to determine an optimal strategy, for which convergence rate and computation time are reasonable, spatial resolution is improved and the two parameters are very well reconstructed.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362525","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038960
N. Delmonte, L. Silvestri, A. Ghiotto, L. Perregrini, M. Bozzi
This work presents an overview of microwave components based on air-filled SIW technology. These devices has been modified by properly placing some dielectric substrate material inside them. This allows to achieve partial component size reduction and to obtain new frequency behaviors. The article includes a slab transmission line with wide single-mode bandwidth, a high efficiency leaky-wave antenna, a compact dual-mode cavity filter and a microfluidic sensor. Some of the components have been designed leveraging the flexibility of additive manufacturing technologies, which allow for the selective control of the density of the dielectric material and for the fabrication of complex topologies such as pipes.
{"title":"Overview of Partially Air-Filled Substrate Integrated Waveguide Components","authors":"N. Delmonte, L. Silvestri, A. Ghiotto, L. Perregrini, M. Bozzi","doi":"10.1109/NEMO51452.2022.10038960","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038960","url":null,"abstract":"This work presents an overview of microwave components based on air-filled SIW technology. These devices has been modified by properly placing some dielectric substrate material inside them. This allows to achieve partial component size reduction and to obtain new frequency behaviors. The article includes a slab transmission line with wide single-mode bandwidth, a high efficiency leaky-wave antenna, a compact dual-mode cavity filter and a microfluidic sensor. Some of the components have been designed leveraging the flexibility of additive manufacturing technologies, which allow for the selective control of the density of the dielectric material and for the fabrication of complex topologies such as pipes.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883337","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038526
J. Cavillot, M. Bodehou, C. Craeye
We study the port-to-port coupling of leaky-wave metasurface (MTS) antennas comprising multiple feeds. An efficient Method of Moments (MoM) simulation tool is developed to analyze such antennas. The MTS and the feeders (coaxial probes) are described using local basis functions. The surface current on the MTS and on the probes are computed iteratively using the GMRES algorithm. The matrix-vector products at each iteration are accelerated with the FFT thanks to the regularity of the mesh. Once the surface currents are obtained, the coupling between the ports can be calculated.
{"title":"Coupling Between Feeders of a Multibeam Metasurface Antenna","authors":"J. Cavillot, M. Bodehou, C. Craeye","doi":"10.1109/NEMO51452.2022.10038526","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038526","url":null,"abstract":"We study the port-to-port coupling of leaky-wave metasurface (MTS) antennas comprising multiple feeds. An efficient Method of Moments (MoM) simulation tool is developed to analyze such antennas. The MTS and the feeders (coaxial probes) are described using local basis functions. The surface current on the MTS and on the probes are computed iteratively using the GMRES algorithm. The matrix-vector products at each iteration are accelerated with the FFT thanks to the regularity of the mesh. Once the surface currents are obtained, the coupling between the ports can be calculated.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311774","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038950
A. Baldominos, G. Goussetis, A. Mengali, N. Fonseca
This paper presents a methodology to estimate Array Fed Reflector (AFR) farfield patterns through interpolation using a small set of computed points. A technique to unwrap the phase pattern is introduced, which is essential to obtain valid results when interpolation is applied. This methodology reduces the computational effort required to calculate AFR beams in a multibeam scenario with a large number of beams, which is the case for future Very High Throughput Satellite (VHTS) systems. An efficient and accurate tool that predicts the performance of these systems is a key step in the design and optimization of the satellite payload.
{"title":"Efficient estimation of multibeam coverage from an Array Fed Reflector","authors":"A. Baldominos, G. Goussetis, A. Mengali, N. Fonseca","doi":"10.1109/NEMO51452.2022.10038950","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038950","url":null,"abstract":"This paper presents a methodology to estimate Array Fed Reflector (AFR) farfield patterns through interpolation using a small set of computed points. A technique to unwrap the phase pattern is introduced, which is essential to obtain valid results when interpolation is applied. This methodology reduces the computational effort required to calculate AFR beams in a multibeam scenario with a large number of beams, which is the case for future Very High Throughput Satellite (VHTS) systems. An efficient and accurate tool that predicts the performance of these systems is a key step in the design and optimization of the satellite payload.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125413341","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}
In this paper, an artificial neural network model is developed to predict the statistics of the optimal number and size of repeaters required to minimize the power delay product (PDP) of on-chip hybrid copper-graphene interconnect networks when subject to parametric uncertainty. The proposed ANN model is a composite of two smaller ANN models. One ANN model is used to emulate the per-unit-length parameters of the interconnects as functions of the geometrical, physical, and material parameters of the network. A second ANN model takes as inputs the outputs of the first ANN model and predicts the corresponding optimal number and size of the repeaters required in the network. Overall, the composite ANN model enables the use of analytic expressions instead of expensive and repeated full-wave electromagnetic (EM) simulations to solve the repeater optimization problem. This composite ANN model is used in a Monte Carlo framework for efficient statistical analysis.
{"title":"An Artificial Neural Network Surrogate Model for Repeater Optimization in the Presence of Parametric Uncertainty for Hybrid Copper-Graphene Interconnect Networks","authors":"Adeeba Sharif, Sunil Pathania, Suyash Kushwaha, Sourajeet Roy, Rohit Sharma, B. Kaushik","doi":"10.1109/NEMO51452.2022.10038956","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038956","url":null,"abstract":"In this paper, an artificial neural network model is developed to predict the statistics of the optimal number and size of repeaters required to minimize the power delay product (PDP) of on-chip hybrid copper-graphene interconnect networks when subject to parametric uncertainty. The proposed ANN model is a composite of two smaller ANN models. One ANN model is used to emulate the per-unit-length parameters of the interconnects as functions of the geometrical, physical, and material parameters of the network. A second ANN model takes as inputs the outputs of the first ANN model and predicts the corresponding optimal number and size of the repeaters required in the network. Overall, the composite ANN model enables the use of analytic expressions instead of expensive and repeated full-wave electromagnetic (EM) simulations to solve the repeater optimization problem. This composite ANN model is used in a Monte Carlo framework for efficient statistical analysis.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126795685","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038971
Jyothish R. Pillai, Deepak Yadav, J. Prajapati, M. D. Upadhayay, Naveen G. Babu
The Photoconductive Antenna (PCA) is a compact and simple source for terahertz radiation. It is based on optical-to-electrical conversion principle to generate terahertz radiation. The major challenge with a PCA is its very small efficiency. The efficiency of a PCA majorly depends on the current pulse amplitude generated across the electrodes gap. Its amplitude can be increased by utilizing various methods, one of them is the use of nano-dots at the electrodes gap. The proposed study analyzes the effect of the shape and size of the nano-dots on the PCA current pulse amplitude. For the analysis, cuboid and cylindrical shaped nano-dots with varying separation between the dots have been taken. The results show that using an optimized combination of the nano-dots dimensions, shape and, separation distance between them, the current pulse amplitude can be enhanced by 31.3%.
{"title":"Optimization Analysis of a Nano-dot Photoconductive Antenna","authors":"Jyothish R. Pillai, Deepak Yadav, J. Prajapati, M. D. Upadhayay, Naveen G. Babu","doi":"10.1109/NEMO51452.2022.10038971","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038971","url":null,"abstract":"The Photoconductive Antenna (PCA) is a compact and simple source for terahertz radiation. It is based on optical-to-electrical conversion principle to generate terahertz radiation. The major challenge with a PCA is its very small efficiency. The efficiency of a PCA majorly depends on the current pulse amplitude generated across the electrodes gap. Its amplitude can be increased by utilizing various methods, one of them is the use of nano-dots at the electrodes gap. The proposed study analyzes the effect of the shape and size of the nano-dots on the PCA current pulse amplitude. For the analysis, cuboid and cylindrical shaped nano-dots with varying separation between the dots have been taken. The results show that using an optimized combination of the nano-dots dimensions, shape and, separation distance between them, the current pulse amplitude can be enhanced by 31.3%.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"27 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131604006","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038948
S. Guerrieri, C. Ramella, E. Catoggio, F. Bonani
We present a novel multiphysics approach to the variability-aware modelling of MMIC stages, including technological variations in both the active devices and in the passive structures used to implement the matching networks. The models are based on accurate physical simulations via the TCAD numerical analysis of the active device, and electro-magnetic simulations of the passives. Black-box models are then extracted and implemented into circuit simulators, using parameter-dependent X-parameters and scattering matrix. In both cases, the link with the underlying technology is always retained. After model validation, we present the statistical analysis of an X-band GaAs power amplifier. We show that the stage is highly affected by process induced variability, with spreads up to 3 dB of output power, 1.5 dB of operative gain, and more than 10 percentage points of drain efficiency.
{"title":"Variability-aware MMIC design through multiphysics modelling","authors":"S. Guerrieri, C. Ramella, E. Catoggio, F. Bonani","doi":"10.1109/NEMO51452.2022.10038948","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038948","url":null,"abstract":"We present a novel multiphysics approach to the variability-aware modelling of MMIC stages, including technological variations in both the active devices and in the passive structures used to implement the matching networks. The models are based on accurate physical simulations via the TCAD numerical analysis of the active device, and electro-magnetic simulations of the passives. Black-box models are then extracted and implemented into circuit simulators, using parameter-dependent X-parameters and scattering matrix. In both cases, the link with the underlying technology is always retained. After model validation, we present the statistical analysis of an X-band GaAs power amplifier. We show that the stage is highly affected by process induced variability, with spreads up to 3 dB of output power, 1.5 dB of operative gain, and more than 10 percentage points of drain efficiency.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124214254","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038975
E. Laudadio, M. Aldrigo, P. Stipa, L. Pierantoni, D. Mencarelli, M. Dragoman, M. Modreanu
In this paper, we present first-principle calculations to study the electrical properties of hafnium oxide (HfO2)-based metal-insulator-metal (MIM) diodes. These devices have been simulated by interposing 3 nm of HfO2 between drain and source contacts made of gold and platinum, respectively. The monoclinic and orthorhombic polymorphs of HfO2 have been considered to model different MIM diodes, and the interface geometries have been optimized to compute the I-V characteristics. The simulation results demonstrate the influence of the HfO2 polymorphs on the MIM properties and the importance to understand the interface phenomena that are related to the measurable properties of the proposed devices.
{"title":"A first-principle assessment at atomistic scale of interface phenomena in down-scaling hafnium-based metal-insulator-metal diodes","authors":"E. Laudadio, M. Aldrigo, P. Stipa, L. Pierantoni, D. Mencarelli, M. Dragoman, M. Modreanu","doi":"10.1109/NEMO51452.2022.10038975","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038975","url":null,"abstract":"In this paper, we present first-principle calculations to study the electrical properties of hafnium oxide (HfO2)-based metal-insulator-metal (MIM) diodes. These devices have been simulated by interposing 3 nm of HfO2 between drain and source contacts made of gold and platinum, respectively. The monoclinic and orthorhombic polymorphs of HfO2 have been considered to model different MIM diodes, and the interface geometries have been optimized to compute the I-V characteristics. The simulation results demonstrate the influence of the HfO2 polymorphs on the MIM properties and the importance to understand the interface phenomena that are related to the measurable properties of the proposed devices.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257136","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038949
Nhu-Huan Nguyen, A. Ghiotto, A. Vilcot, K. Wu, T. Vuong
This paper introduces a compact broadband transition from microstrip line to slab air-filled substrate integrated waveguide (SAFSIW). For demonstration, a back-to-back transition is fabricated and measured. The experimental results show a reflection coefficient less than −10 dB from 22.93 GHz to 50 GHz. Meanwhile, over the entire Ka band (26.5 GHz to 40 GHz), a reflection coefficient lower than −12 dB is obtained in measurement. This direct transition allows a full-band operation in a compact size.
{"title":"Broadband Transition from Microstrip to Slab Air-Filled Substrate Integrated Waveguide (SAFSIW)","authors":"Nhu-Huan Nguyen, A. Ghiotto, A. Vilcot, K. Wu, T. Vuong","doi":"10.1109/NEMO51452.2022.10038949","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038949","url":null,"abstract":"This paper introduces a compact broadband transition from microstrip line to slab air-filled substrate integrated waveguide (SAFSIW). For demonstration, a back-to-back transition is fabricated and measured. The experimental results show a reflection coefficient less than −10 dB from 22.93 GHz to 50 GHz. Meanwhile, over the entire Ka band (26.5 GHz to 40 GHz), a reflection coefficient lower than −12 dB is obtained in measurement. This direct transition allows a full-band operation in a compact size.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128187707","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 : 2022-07-06DOI: 10.1109/NEMO51452.2022.10038518
Wladimir Plotnikov, Tobias Murawski, D. Schulz
The approximation of propagators can be based on an appropriate polynomial expansion utilizing an overall constant time step size. With a polynomial expansion based on Faber polynomials a sub-gridding with different discretization patterns of the computational window can be undertaken while keeping the time step size constant. The efficiency of the approach leading to local propagators is evaluated.
{"title":"Local Propagators utilizing Faber Polynomial based Expansions","authors":"Wladimir Plotnikov, Tobias Murawski, D. Schulz","doi":"10.1109/NEMO51452.2022.10038518","DOIUrl":"https://doi.org/10.1109/NEMO51452.2022.10038518","url":null,"abstract":"The approximation of propagators can be based on an appropriate polynomial expansion utilizing an overall constant time step size. With a polynomial expansion based on Faber polynomials a sub-gridding with different discretization patterns of the computational window can be undertaken while keeping the time step size constant. The efficiency of the approach leading to local propagators is evaluated.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132973903","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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