Pub Date : 2025-02-17DOI: 10.1109/JMMCT.2025.3542379
Tiago V. L. Amorim;Elson J. Silva;Fernando J. S. Moreira;Fernando L. Teixeira
We present a novel modular implementation of the discontinuous Galerkin time-domain (DGTD) method to effectively address electromagnetic problems involving general dielectric dispersive media modeled through vector fitting. This approach includes an extended dispersive perfectly matched layer to directly truncate dispersive materials, allowing for the modeling of open domains. The proposed modular and concise DGTD implementation, based on the complex-conjugate pole-residue model, offers flexibility and simplifies the handling of complex medium problems. We apply the formulation to both two-dimensional and three-dimensional canonical scattering problems, demonstrating good agreement with their respective analytical solutions.
{"title":"Modular Discontinuous Galerkin Time-Domain Method for General Dispersive Media With Vector Fitting","authors":"Tiago V. L. Amorim;Elson J. Silva;Fernando J. S. Moreira;Fernando L. Teixeira","doi":"10.1109/JMMCT.2025.3542379","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3542379","url":null,"abstract":"We present a novel modular implementation of the discontinuous Galerkin time-domain (DGTD) method to effectively address electromagnetic problems involving general dielectric dispersive media modeled through vector fitting. This approach includes an extended dispersive perfectly matched layer to directly truncate dispersive materials, allowing for the modeling of open domains. The proposed modular and concise DGTD implementation, based on the complex-conjugate pole-residue model, offers flexibility and simplifies the handling of complex medium problems. We apply the formulation to both two-dimensional and three-dimensional canonical scattering problems, demonstrating good agreement with their respective analytical solutions.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"179-186"},"PeriodicalIF":1.8,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698337","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 : 2025-02-04DOI: 10.1109/JMMCT.2025.3538602
Zhong Yuan Pang;Bo O. Zhu
Numerical analysis of static field problems is often encountered in science and engineering. The boundary element methods based on integral equations are popular due to small number of unknowns and high computational efficiency. Conventional boundary element methods require conformal meshes on the interface between two contact dielectric objects, which are more complicated to generate than non-conformal meshes. This paper presents a boundary element integral equation method compatible with non-conformal meshes on the interface between contacting objects. In this method, surface polarization charges on a homogeneous dielectric object are the unknowns, and the relationship between the electric field and surface polarization charges are employed to establish the integral equations. The discretization of such an integral equation and the treatment for singularity integration are discussed. Since the proposed method is compatible with non-conformal meshes, it reduces the meshing complexity for dielectric objects in contact, while the number of unknowns of the proposed method is intermediate compared with conventional methods. The proposed method is general for electrostatic field, magnetostatic field and stationary current field simulations. To demonstrate the feasibility, accuracy and efficiency of this approach, numerical tests and comparison with conventional methods are presented in this paper.
{"title":"Self Surface Charge Method for Static Field Simulation Compatible With Non-Conformal Meshes","authors":"Zhong Yuan Pang;Bo O. Zhu","doi":"10.1109/JMMCT.2025.3538602","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3538602","url":null,"abstract":"Numerical analysis of static field problems is often encountered in science and engineering. The boundary element methods based on integral equations are popular due to small number of unknowns and high computational efficiency. Conventional boundary element methods require conformal meshes on the interface between two contact dielectric objects, which are more complicated to generate than non-conformal meshes. This paper presents a boundary element integral equation method compatible with non-conformal meshes on the interface between contacting objects. In this method, surface polarization charges on a homogeneous dielectric object are the unknowns, and the relationship between the electric field and surface polarization charges are employed to establish the integral equations. The discretization of such an integral equation and the treatment for singularity integration are discussed. Since the proposed method is compatible with non-conformal meshes, it reduces the meshing complexity for dielectric objects in contact, while the number of unknowns of the proposed method is intermediate compared with conventional methods. The proposed method is general for electrostatic field, magnetostatic field and stationary current field simulations. To demonstrate the feasibility, accuracy and efficiency of this approach, numerical tests and comparison with conventional methods are presented in this paper.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"160-168"},"PeriodicalIF":1.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637901","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 : 2025-01-30DOI: 10.1109/JMMCT.2025.3536795
Kirill V. Poletkin;Pavel Udalov;Alexey Lukin;Ivan Popov;Haojie Xia
An approach for calculation of the magnetic force arising between two electric current-carrying filaments having a circular and closed-curve of arbitrary shape is developed. The developed approach is based on the recently formulated segmentation method applied for the calculation of the mutual induction for a similar filament system. Employing the fact that any curve can be interpolated by a set of line segments with the desired accuracy and deriving the set of formulas for calculating of the magnetic force between a circular filament and line segment, the developed approach was also successfully applied for the estimation of the distribution of magnetic force along the closed-curve in addition to the resulting one. As illustrative examples, the calculation of the magnetic force and its distribution between the circular filament and the following closed-curves such as polygons, circles and a 3D curve was efficiently performed by using the developed approach. Also, the developed method was applied for the calculation of the resultant magnetic force between the rigid bodies including permanent magnets and current-carrying coils. The results of calculation were validated successfully by using FEM method and the analytical formulas available in the literature.
{"title":"Efficient Calculation of Magnetic Force Between Two Current-Carrying Filaments of Circular and Closed-Curve of Arbitrary Shape via Segmentation Approach","authors":"Kirill V. Poletkin;Pavel Udalov;Alexey Lukin;Ivan Popov;Haojie Xia","doi":"10.1109/JMMCT.2025.3536795","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3536795","url":null,"abstract":"An approach for calculation of the magnetic force arising between two electric current-carrying filaments having a circular and closed-curve of arbitrary shape is developed. The developed approach is based on the recently formulated segmentation method applied for the calculation of the mutual induction for a similar filament system. Employing the fact that any curve can be interpolated by a set of line segments with the desired accuracy and deriving the set of formulas for calculating of the magnetic force between a circular filament and line segment, the developed approach was also successfully applied for the estimation of the distribution of magnetic force along the closed-curve in addition to the resulting one. As illustrative examples, the calculation of the magnetic force and its distribution between the circular filament and the following closed-curves such as polygons, circles and a 3D curve was efficiently performed by using the developed approach. Also, the developed method was applied for the calculation of the resultant magnetic force between the rigid bodies including permanent magnets and current-carrying coils. The results of calculation were validated successfully by using FEM method and the analytical formulas available in the literature.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"137-150"},"PeriodicalIF":1.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512994","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 : 2025-01-29DOI: 10.1109/JMMCT.2025.3535936
Xuyang Bai;Shurun Tan
The design complexity of photonic crystals and periodic gratings has been continuously increasing, driven by exploration of their unique physical phenomena and widespread applications. However, existing approaches for scattering modeling of periodic structures potentially encounter challenges when adapting to complex configurations, especially in the context of accurate near-field analysis and frequency responses near resonance. Meanwhile, they often exhibit difficulties in computational efficiency considering broadband simulations. Therefore, the development of an efficient and general scattering modeling approach to overcome these limitations has emerged as a crucial task. In this paper, an efficient surface integration equation (SIE)-based method is developed to model the scattering properties of arbitrary-shaped 2D gratings with 1D periodicity. The SIE is solved with a Nyström approach, which incorporates a local correction scheme and a Gaussian-Legendre quadrature rule. The evaluation of periodic Green's functions is achieved by combining an advanced imaginary wavenumber extraction technique with an integral transformation approach, which significantly increase the broadband simulation efficiency. Additionally, an over-determined matrix equation is constructed by testing the SIE with redundant observation points to mitigate potential internal resonance phenomena. The proposed approach is assessed through various numerical examples involving scatterers of different shapes and arrangements to demonstrate its accuracy and efficiency. The transmissivity spectra and surface field results, considering both normal and grazing incidence, are computed and compared against traditional approaches. The method proposed is found to be superior in accuracy and efficiency, especially when complicated evanescent modes are excited, and for broadband simulations.
{"title":"An Efficient Surface-Integral-Equation Based Nyström Method With an Over-Determined Testing Scheme for Broadband Grating Scattering Modeling","authors":"Xuyang Bai;Shurun Tan","doi":"10.1109/JMMCT.2025.3535936","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3535936","url":null,"abstract":"The design complexity of photonic crystals and periodic gratings has been continuously increasing, driven by exploration of their unique physical phenomena and widespread applications. However, existing approaches for scattering modeling of periodic structures potentially encounter challenges when adapting to complex configurations, especially in the context of accurate near-field analysis and frequency responses near resonance. Meanwhile, they often exhibit difficulties in computational efficiency considering broadband simulations. Therefore, the development of an efficient and general scattering modeling approach to overcome these limitations has emerged as a crucial task. In this paper, an efficient surface integration equation (SIE)-based method is developed to model the scattering properties of arbitrary-shaped 2D gratings with 1D periodicity. The SIE is solved with a Nyström approach, which incorporates a local correction scheme and a Gaussian-Legendre quadrature rule. The evaluation of periodic Green's functions is achieved by combining an advanced imaginary wavenumber extraction technique with an integral transformation approach, which significantly increase the broadband simulation efficiency. Additionally, an over-determined matrix equation is constructed by testing the SIE with redundant observation points to mitigate potential internal resonance phenomena. The proposed approach is assessed through various numerical examples involving scatterers of different shapes and arrangements to demonstrate its accuracy and efficiency. The transmissivity spectra and surface field results, considering both normal and grazing incidence, are computed and compared against traditional approaches. The method proposed is found to be superior in accuracy and efficiency, especially when complicated evanescent modes are excited, and for broadband simulations.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"125-136"},"PeriodicalIF":1.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446272","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 : 2025-01-23DOI: 10.1109/JMMCT.2025.3533516
{"title":"2024 Index IEEE Journal on Multiscale and Multiphysics Computational Techniques Vol. 9","authors":"","doi":"10.1109/JMMCT.2025.3533516","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3533516","url":null,"abstract":"","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"9 ","pages":"415-426"},"PeriodicalIF":1.8,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851470","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-17DOI: 10.1109/JMMCT.2025.3531134
Emanuel Colella;Benjamin A. Baldwin;Shaun F. Kelso;Luca Bastianelli;Valter Mariani Primiani;Franco Moglie;Gabriele Gradoni
The advent of noisy intermediate-scale quantum (NISQ) systems signifies an important stage in quantum computing development. Despite the constraints due to their limited qubit numbers and noise susceptibility, NISQ devices exhibit substantial potential to tackle complex computational challenges via hybrid classical-quantum algorithms. Among the various hybrid algorithms, variational quantum algorithms (VQAs) are gaining increasing attention due to their ability to solve highly complex, large-scale problems where classical algorithms fail. In particular, the variational quantum eigensolver (VQE) shows its potential in calculating the energies and ground states of large systems, where the complexity of solving such problems grows exponentially and becomes intractable for classical computers. At this regard, the aim of this paper is to extend the use of VQE for solving circular waveguide modes to verify their applicability to mathematically complex EM problems. In particular, we propose to calculate the fundamental and the some higher order modes for both transverse electric and transverse magnetic cases in circular waveguides. This is mathematically challenging due to the nature of geometry and the associated boundary conditions of circular structures. The results confirm the possibility of applying VQE for mathematically complex EM problems, announcing its potential to scale up and solve high-dimensional, large-scale EM problems where classical algorithms can fail.
{"title":"Variational Quantum Based Simulation of Cylindrical Waveguides","authors":"Emanuel Colella;Benjamin A. Baldwin;Shaun F. Kelso;Luca Bastianelli;Valter Mariani Primiani;Franco Moglie;Gabriele Gradoni","doi":"10.1109/JMMCT.2025.3531134","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3531134","url":null,"abstract":"The advent of noisy intermediate-scale quantum (NISQ) systems signifies an important stage in quantum computing development. Despite the constraints due to their limited qubit numbers and noise susceptibility, NISQ devices exhibit substantial potential to tackle complex computational challenges via hybrid classical-quantum algorithms. Among the various hybrid algorithms, variational quantum algorithms (VQAs) are gaining increasing attention due to their ability to solve highly complex, large-scale problems where classical algorithms fail. In particular, the variational quantum eigensolver (VQE) shows its potential in calculating the energies and ground states of large systems, where the complexity of solving such problems grows exponentially and becomes intractable for classical computers. At this regard, the aim of this paper is to extend the use of VQE for solving circular waveguide modes to verify their applicability to mathematically complex EM problems. In particular, we propose to calculate the fundamental and the some higher order modes for both transverse electric and transverse magnetic cases in circular waveguides. This is mathematically challenging due to the nature of geometry and the associated boundary conditions of circular structures. The results confirm the possibility of applying VQE for mathematically complex EM problems, announcing its potential to scale up and solve high-dimensional, large-scale EM problems where classical algorithms can fail.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"104-111"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105959","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 : 2025-01-13DOI: 10.1109/JMMCT.2025.3528484
Xiaofan Jia;Mingyu Wang;Qiqi Dai;Chao-Fu Wang;Abdulkadir C. Yucel
A physics-informed deep learning-based scheme is introduced for computing partial inductances of interconnects. This scheme takes a physics-based skin depth map and a geometry identifier of the interconnects as inputs and provides the current density distribution on the interconnects as the output. The predicted currents are then used to compute the partial self-resistances, self-inductances, and mutual-inductances of the interconnects. The proposed method leverages an Attention U-net, a U-shaped convolutional neural network with attention modules. During the training of Attention U-net, a specifically designed loss function is used to ensure the accurate modeling of the currents on the structure as well as ports. The accuracy, efficiency, and generalization ability of this physics-informed deep learning method are demonstrated via inductance extraction of the interconnects with and without a ground plane, including straight single interconnects, interconnects with sharp bends, parallel interconnects, and multiple conductor crossover buses. Numerical results show that the proposed scheme can predict the current density distribution of one interconnect scenario in 15.63 ms on GPU, 1157x faster than the physics-based solver, while providing self-inductances, mutual-inductances, and self-resistances of interconnects with around 1%, 3%, and 4% ${{ell }_2}$-norm error, respectively.
{"title":"Deep Learning-Based Partial Inductance Extraction of 3-D Interconnects","authors":"Xiaofan Jia;Mingyu Wang;Qiqi Dai;Chao-Fu Wang;Abdulkadir C. Yucel","doi":"10.1109/JMMCT.2025.3528484","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3528484","url":null,"abstract":"A physics-informed deep learning-based scheme is introduced for computing partial inductances of interconnects. This scheme takes a physics-based skin depth map and a geometry identifier of the interconnects as inputs and provides the current density distribution on the interconnects as the output. The predicted currents are then used to compute the partial self-resistances, self-inductances, and mutual-inductances of the interconnects. The proposed method leverages an Attention U-net, a U-shaped convolutional neural network with attention modules. During the training of Attention U-net, a specifically designed loss function is used to ensure the accurate modeling of the currents on the structure as well as ports. The accuracy, efficiency, and generalization ability of this physics-informed deep learning method are demonstrated via inductance extraction of the interconnects with and without a ground plane, including straight single interconnects, interconnects with sharp bends, parallel interconnects, and multiple conductor crossover buses. Numerical results show that the proposed scheme can predict the current density distribution of one interconnect scenario in 15.63 ms on GPU, 1157x faster than the physics-based solver, while providing self-inductances, mutual-inductances, and self-resistances of interconnects with around 1%, 3%, and 4% <inline-formula><tex-math>${{ell }_2}$</tex-math></inline-formula>-norm error, respectively.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"112-124"},"PeriodicalIF":1.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143360947","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 : 2025-01-10DOI: 10.1109/JMMCT.2025.3528076
Sairam SD;Sriram Kumar Dhamodharan
A multi-layer perceptron (MLP) model was applied to electromagnetic shielding to analyze a coupled ring anisotropic frequency selective surface (CRAFSS) using an equivalent circuit model. The shielding structure, based on a single-sided RT 5880 array, features unit elements with dimensions of $0.55lambda _{0} times 0.41lambda _{0}$ at the resonant frequency. Various deep neural network (DNN) configurations with hidden layers were tested to achieve optimal results, reaching a minimal mean square error (MSE) of $1.012 times 10^{-4}$. The MLP was trained using input parameters such as S-parameters, resonant frequency, and shielding effectiveness, with the output being the dimensions of the proposed shielding structure. The dataset, built from capacitance and inductance values, was used for testing, training, and validation within the neural network, eventually employing inverse modeling for output prediction. The structure demonstrated stable bandwidth performance despite changes in the incidence angle of transverse magnetic (TM) and transverse electric (TE) polarizations, shifting from $theta$ = $0^{0}$ to $60^{0}$. The anisotropic FSS was developed and evaluated, with deep learning results and electromagnetic (EM) simulations playing a key role in the design process.
将多层感知器（MLP）模型应用于电磁屏蔽中，利用等效电路模型分析耦合环形各向异性频率选择面（CRAFSS）。该屏蔽结构基于单面RT 5880阵列，在谐振频率处具有尺寸为$0.55lambda _{0} times 0.41lambda _{0}$的单元元件。为了获得最优的结果，我们测试了各种带有隐藏层的深度神经网络（DNN）配置，其均方误差（MSE）最小值为$1.012 times 10^{-4}$。MLP使用s参数、谐振频率和屏蔽效率等输入参数进行训练，输出是所提出的屏蔽结构的尺寸。该数据集由电容和电感值构建，用于神经网络内的测试、训练和验证，最终采用逆建模进行输出预测。尽管横向磁极化（TM）和横向电极化（TE）的入射角从$theta$ = $0^{0}$变化到$60^{0}$，但该结构的带宽性能仍然稳定。开发和评估了各向异性FSS，深度学习结果和电磁（EM）模拟在设计过程中发挥了关键作用。
{"title":"EMI Shielding With Anisotropic Frequency Selective Surfaces: A Neural Network and Equivalent Circuit Approach","authors":"Sairam SD;Sriram Kumar Dhamodharan","doi":"10.1109/JMMCT.2025.3528076","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3528076","url":null,"abstract":"A multi-layer perceptron (MLP) model was applied to electromagnetic shielding to analyze a coupled ring anisotropic frequency selective surface (CRAFSS) using an equivalent circuit model. The shielding structure, based on a single-sided RT 5880 array, features unit elements with dimensions of <inline-formula><tex-math>$0.55lambda _{0} times 0.41lambda _{0}$</tex-math></inline-formula> at the resonant frequency. Various deep neural network (DNN) configurations with hidden layers were tested to achieve optimal results, reaching a minimal mean square error (MSE) of <inline-formula><tex-math>$1.012 times 10^{-4}$</tex-math></inline-formula>. The MLP was trained using input parameters such as S-parameters, resonant frequency, and shielding effectiveness, with the output being the dimensions of the proposed shielding structure. The dataset, built from capacitance and inductance values, was used for testing, training, and validation within the neural network, eventually employing inverse modeling for output prediction. The structure demonstrated stable bandwidth performance despite changes in the incidence angle of transverse magnetic (TM) and transverse electric (TE) polarizations, shifting from <inline-formula><tex-math>$theta$</tex-math></inline-formula> = <inline-formula><tex-math>$0^{0}$</tex-math></inline-formula> to <inline-formula><tex-math>$60^{0}$</tex-math></inline-formula>. The anisotropic FSS was developed and evaluated, with deep learning results and electromagnetic (EM) simulations playing a key role in the design process.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"94-103"},"PeriodicalIF":1.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105960","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 : 2024-12-31DOI: 10.1109/JMMCT.2024.3524598
Yuxian Zhang;Yilin Kang;Naixing Feng;Xiaoli Feng;Zhixiang Huang;Atef Z. Elsherbeni
In this article, to breakthrough the constraint from conventional finite-difference time-domain (FDTD) method, we firstly propose a scale-compressed technique (SCT) working for the FDTD method, been called SCT-FDTD for short, to reduce three-dimensional (3-D) into one-dimensional (1-D) processes and capture the propagation coefficients. Combining with Maxwell's curl equations, the transverse wave vectors (kx, ky) can be defined as the fixed values, which let the curl operator become the curl matrix with only z-directional derivative. The obvious advantage demonstrated by above is that it does not require excessive computational processes to obtain high-dimensional numerical results with reasonable accuracy. By comparing with commercial software COMSOL by the TE/TM illumination in multi-layered biaxial anisotropy, those results from SCT-FDTD method are entirely consistent. More importantly, the SCT-FDTD possesses less CPU time and lower computational resources for COMSOL.
{"title":"Scale-Compressed Technique in Finite-Difference Time-Domain Method for Multi-Layered Anisotropic Media","authors":"Yuxian Zhang;Yilin Kang;Naixing Feng;Xiaoli Feng;Zhixiang Huang;Atef Z. Elsherbeni","doi":"10.1109/JMMCT.2024.3524598","DOIUrl":"https://doi.org/10.1109/JMMCT.2024.3524598","url":null,"abstract":"In this article, to breakthrough the constraint from conventional finite-difference time-domain (FDTD) method, we firstly propose a scale-compressed technique (SCT) working for the FDTD method, been called SCT-FDTD for short, to reduce three-dimensional (3-D) into one-dimensional (1-D) processes and capture the propagation coefficients. Combining with Maxwell's curl equations, the transverse wave vectors (<italic>k<sub>x</sub></i>, <italic>k<sub>y</sub></i>) can be defined as the fixed values, which let the curl operator become the curl matrix with only <italic>z</i>-directional derivative. The obvious advantage demonstrated by above is that it does not require excessive computational processes to obtain high-dimensional numerical results with reasonable accuracy. By comparing with commercial software COMSOL by the TE/TM illumination in multi-layered biaxial anisotropy, those results from SCT-FDTD method are entirely consistent. More importantly, the SCT-FDTD possesses less CPU time and lower computational resources for COMSOL.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"85-93"},"PeriodicalIF":1.8,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975849","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 : 2024-12-20DOI: 10.1109/JMMCT.2024.3520488
Angelika S. Thalmayer;Keyu Xiao;Paul Wolff;Georg Fischer
The development of trustworthy simulation models is crucial for planning drug administration in magnetic drug targeting (MDT) interventions for future cancer treatment. In the MDT cancer therapy, the drug is bound to magnetic nanoparticles, which act as carriers and are guided through the cardiovascular system into the tumor region using an external magnetic field. Thus, the modeling represents a multiphysical problem and can be approached either by particle-based or concentration-based models. In this paper, both simulation approaches are implemented in COMSOL Multiphysics in a typical magnetic drug targeting scenario, verified by measurements, and compared among each other. Two different particle concentrations with and without an applied magnetic field of a Halbach array consisting of five permanent magnets in a tube flow system with a laminar velocity flow were investigated. Within this scope, an analytical model for calculating the system response for the detection of nanoparticles with a commercial susceptometer is derived, too. Considering the two implemented models and the investigated scenario, the concentration-based model shows a considerably better agreement with the experimental results for both with and without an applied magnetic field. The spatial resolution of the particle-based model is reduced due to the limited number of considered particles resulting in an inaccurate system response. Overall, the high number of new publications shows the need for research in this interdisciplinary research field to improve therapeutic success.
{"title":"Experimental and Numerical Modeling of Magnetic Drug Targeting: Can We Trust Particle-Based Models?","authors":"Angelika S. Thalmayer;Keyu Xiao;Paul Wolff;Georg Fischer","doi":"10.1109/JMMCT.2024.3520488","DOIUrl":"https://doi.org/10.1109/JMMCT.2024.3520488","url":null,"abstract":"The development of trustworthy simulation models is crucial for planning drug administration in magnetic drug targeting (MDT) interventions for future cancer treatment. In the MDT cancer therapy, the drug is bound to magnetic nanoparticles, which act as carriers and are guided through the cardiovascular system into the tumor region using an external magnetic field. Thus, the modeling represents a multiphysical problem and can be approached either by particle-based or concentration-based models. In this paper, both simulation approaches are implemented in COMSOL Multiphysics in a typical magnetic drug targeting scenario, verified by measurements, and compared among each other. Two different particle concentrations with and without an applied magnetic field of a Halbach array consisting of five permanent magnets in a tube flow system with a laminar velocity flow were investigated. Within this scope, an analytical model for calculating the system response for the detection of nanoparticles with a commercial susceptometer is derived, too. Considering the two implemented models and the investigated scenario, the concentration-based model shows a considerably better agreement with the experimental results for both with and without an applied magnetic field. The spatial resolution of the particle-based model is reduced due to the limited number of considered particles resulting in an inaccurate system response. Overall, the high number of new publications shows the need for research in this interdisciplinary research field to improve therapeutic success.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"69-84"},"PeriodicalIF":1.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938138","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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