IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献_第7页

An Efficient Method for Synthesizing Sparse Arrays With Well-Controlled Discrete Array Factors 具有良好控制的离散阵列因子的稀疏阵列的有效合成方法

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IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-08-26 DOI: 10.1109/JMMCT.2025.3602986

Ting Zang;Gaobiao Xiao

引用次数: 0

Knowledge-Based Bidirectional Recurrent Neural Network Approach for Efficient Prediction of Jitter in a Chain of CMOS Inverters 基于知识的双向递归神经网络方法有效预测CMOS逆变器链中的抖动

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-08-25 DOI: 10.1109/JMMCT.2025.3602632

Ahsan Javaid;Ramachandra Achar;Jai Narayan Tripathi

引用次数: 0

Performance Enhanced Copper-Graphene Hetero Interconnect Structures in Crossbar Arrays for Neuromorphic Computing 用于神经形态计算的交叉杆阵列中性能增强的铜-石墨烯异质互连结构

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-08-01 DOI: 10.1109/JMMCT.2025.3593872

Suyash Kushwaha;Chintu Bhaskara Rao;Shamini P R;Sourajeet Roy;Rohit Sharma

{"title":"Performance Enhanced Copper-Graphene Hetero Interconnect Structures in Crossbar Arrays for Neuromorphic Computing","authors":"Suyash Kushwaha;Chintu Bhaskara Rao;Shamini P R;Sourajeet Roy;Rohit Sharma","doi":"10.1109/JMMCT.2025.3593872","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3593872","url":null,"abstract":"In this paper, novel copper graphene heterogeneous interconnect structures are proposed which retain the ease of fabrication while having far better electrical performance when compared to the conventional copper interconnects. In the nanoscale regime, signal integrity (SI) of the copper interconnects degrades significantly. To address the signal integrity issues, these heterogeneous interconnects are developed at 7 nm technology nodes which are further used to make the crossbar arrays for neuromorphic computing. The proposed copper graphene heterogeneous interconnects were designed by stacking the layers of copper and multilayer graphene nanoribbons (MLGNRs) one over the other and a detailed signal integrity analysis is done based on the quantities like the per unit length Resistance, Insertion Loss (IL), Return Loss (RL), eye diagrams, surface charge density and volume current density. The results shows that the proposed interconnects outperformed the copper interconnects based on each and every SI quantity. Finally, in the application example, the best performing heterogeneous interconnects are used to create larger crossbar arrays with sizes 64 × 64, 128 × 128. Further, the key performance matrices such as the delay time, the rise time and the fall time are analyzed and compared with the conventional crossbars made from the copper interconnects. The results in application example proved that the heterogeneous interconnects performs better than the copper interconnects for neuromorphic computing.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"379-387"},"PeriodicalIF":1.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904842","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}

引用次数: 0

Enhancing DORT Method Performance in Time-Reversal Microwave Imaging Through Denoising Autoencoder 通过去噪自编码器增强时间反转微波成像中的DORT方法性能

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-07-15 DOI: 10.1109/JMMCT.2025.3589191

Hamed Rezaei;Amir Nader Askarpour;Abdolali Abdipour

引用次数: 0

Optimized Microwave Ablation With a Novel Applicator: Integration of Taguchi Neural Networks for Enhanced Predictive Accuracy of Ablation Zone 一种新型应用器优化微波消融：整合田口神经网络提高消融区预测精度

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-07-14 DOI: 10.1109/JMMCT.2025.3589163

Suyash Kumar Singh;Brij Kumar Bharti;Amar Nath Yadav;Ajay Kumar Dwivedi

{"title":"Optimized Microwave Ablation With a Novel Applicator: Integration of Taguchi Neural Networks for Enhanced Predictive Accuracy of Ablation Zone","authors":"Suyash Kumar Singh;Brij Kumar Bharti;Amar Nath Yadav;Ajay Kumar Dwivedi","doi":"10.1109/JMMCT.2025.3589163","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3589163","url":null,"abstract":"This study examines the computational challenges associated with modeling liver tumors using microwave ablation (MWA), while highlighting the limitations of conventional methods and advocating for the use of MWA in conjunction with artificial intelligence as a more promising approach. The proposed innovative antenna design, which comprises a coaxial line featuring a tapered outer conductor and a dipole antenna, aims to produce a nearly spherical ablation zone without the need for any additional matching network. Capable of operating at both 2.45 GHz and 5.8 GHz with minor structural modifications, it offers flexibility in tumor ablation systems. The research further incorporates and compares the sigmoidal model, a well-established computational method, and a recently developed parametric model for evaluating temperature-dependent properties in modeling the 3-D liver tissue, identifying differences in the ablation zone during MWA. Additionally, since both under and over ablation are major concerns during the MWA procedure, resulting in damage to healthy tissue and tumor recurrence, respectively, this study introduces a Taguchi Artificial Neural Networks (TNN) framework for the prediction of ablation zone in advance, thereby, significantly reducing the number of required training datasets without compromising performance metrics.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"348-359"},"PeriodicalIF":1.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739814","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}

引用次数: 0

Optimal Configuration and Performance Enhancement of Time-Modulated Circular Antenna Arrays 时间调制圆形天线阵列的优化配置与性能增强

IF 1.8

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-07-10 DOI: 10.1109/JMMCT.2025.3587386

Satish Kumar;Gopi Ram;Durbadal Mandal;Rajib Kar

{"title":"Optimal Configuration and Performance Enhancement of Time-Modulated Circular Antenna Arrays","authors":"Satish Kumar;Gopi Ram;Durbadal Mandal;Rajib Kar","doi":"10.1109/JMMCT.2025.3587386","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3587386","url":null,"abstract":"In order to optimize the synthesis of Asymmetric Time-Modulated Circular Antenna Array (ATMCAA) and Symmetric Time-Modulated Circular Antenna Array (STMCAA), this work presents the Novel Particle Swarm Optimization Algorithm (NPSO). Inter-element spacing and uniform current excitation are maintained by regulating the switching time sequence and progressive phase delay of each element. A distinct cost function is developed for each of the two case studies. Using 20- and 36-element examples, several low side-lobe designs synthesized from ATMCAA and STMCAA are compared with traditional circular arrays. Through the manipulation of switching time sequence and progressive phase delay, the cost function is optimized to simultaneously reduce the side-lobe level (SLL) and directivity in ATMCAA and STMCAA. When it comes to antenna array synthesis, NPSO performs better than other algorithms, such as cat swarm optimization and invasive weed optimization. This study demonstrates how effective NPSO is at optimizing antenna arrays in order to improve higher communication reliability and signal quality.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"334-347"},"PeriodicalIF":1.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716297","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}

引用次数: 0

Automatic Mesh Refinement Process for High-Quality Factor Resonant Cavities Using the Method of Moments 基于矩量法的高质量因子谐振腔自动网格细化过程

IF 1.8

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-07-02 DOI: 10.1109/JMMCT.2025.3585550

Wen-Tao Bao;Joseph D. Kotulski;Jin-Fa Lee

引用次数: 0

FEA and CFD Based Multi-Physics Modeling, Simulation, and Validation of Oil-Immersed Power Transformers 基于FEA和CFD的油浸式电力变压器多物理场建模、仿真与验证

IF 1.8

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-07-02 DOI: 10.1109/JMMCT.2025.3584998

Reza Ilka;Jiangbiao He;Jingjing Yang;Jose E. Contreras;Carlos G. Cavazos;Weijun Yin

{"title":"FEA and CFD Based Multi-Physics Modeling, Simulation, and Validation of Oil-Immersed Power Transformers","authors":"Reza Ilka;Jiangbiao He;Jingjing Yang;Jose E. Contreras;Carlos G. Cavazos;Weijun Yin","doi":"10.1109/JMMCT.2025.3584998","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3584998","url":null,"abstract":"Power transformers serve as indispensable elements in nearly every electrical power system. Ensuring the continuous operation of power transformers is pivotal in maintaining the reliability and safety of the power network. Hotspot temperature (HST) in windings is a key factor that indicates the health condition of a power transformer. To determine the temperature of the transformer windings, it is essential to obtain the temperature distribution inside the transformer. This paper introduces a high-fidelity multi-physics modeling and simulation framework focused on predicting the reliability of large power transformers. The methodology relies on the application of three-dimensional (3D) finite element analysis (FEA) and computational fluid dynamics (CFD). In particular, electromagnetic modeling and simulation using FEA are conducted to calculate transformer losses. Subsequently, a thermal-hydraulic model is established to determine the temperature distribution. More importantly, this is to identify the HST in the transformer windings, which is further utilized to determine the transformer lifetime. Additionally, a sensitivity analysis is carried out to evaluate how the properties of the cooling oil affect both temperature distribution and HST. Finally, experimental results are provided to confirm the multi-physics modeling and simulation results.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"304-314"},"PeriodicalIF":1.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597803","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}

引用次数: 0

Deep Learning-Based Prediction of Multifunctional Photonic Crystal Ring Resonator With Ultra High-Quality Factor 基于深度学习的多功能超高质量因子光子晶体环形谐振器预测

IF 1.8

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-06-27 DOI: 10.1109/JMMCT.2025.3583976

P. Agilandeswari;G. Thavasi Raja;R. Rajasekar;R. Parthasarathy

{"title":"Deep Learning-Based Prediction of Multifunctional Photonic Crystal Ring Resonator With Ultra High-Quality Factor","authors":"P. Agilandeswari;G. Thavasi Raja;R. Rajasekar;R. Parthasarathy","doi":"10.1109/JMMCT.2025.3583976","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3583976","url":null,"abstract":"A novel deep learning-based reconfigurable and multifunctional Photonic Crystal Ring Resonator (PCRR) is designed with narrow bandwidth, low insertion loss and ultracompact size for lightwave communication and optical computing applications. The designed coupled nanoring resonator is used to realize four different functions of optical switch, narrow bandpass filter, encoder and XOR gate. The periodic structure of photonic bandgap frequency range is calculated by the Plane Wave Expansion (PWE) technique. The multifunctional nanoscale structure performance parameters of extinction ratio, quality factor and insertion loss are numerically analyzed by Finite-Difference-Time-Domain (FDTD) method. The deep learning algorithm of Long Short Term Memory- Neural Network (LSTM-NN) is used to predict the design parameters with low mean square error and less computation time of 50 seconds. The nanoring resonators is designed with high quality factor of 2566.83, high extinction ratio of 34.87 dB and ultracompact size of 179.20 μm<sup>2</sup>. Hence, this multifunctional platform is highly appropriate for photonic integrated circuits and optical computing system.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"295-303"},"PeriodicalIF":1.8,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606341","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}

引用次数: 0

Large-Area Geometric Diodes Based on Asymmetric and Nonlinear Transport in Patterned Graphene 基于非对称和非线性输运的大面积几何二极管

IF 1.8

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-06-26 DOI: 10.1109/JMMCT.2025.3583441

Davide Mencarelli;Emiliano Laudadio;Heng Wang;Siti Nur Afifa Azman;Martino Aldrigo;Mircea Dragoman;Eleonora Pavoni;Elaheh Mohebbi;Luca Pierantoni

{"title":"Large-Area Geometric Diodes Based on Asymmetric and Nonlinear Transport in Patterned Graphene","authors":"Davide Mencarelli;Emiliano Laudadio;Heng Wang;Siti Nur Afifa Azman;Martino Aldrigo;Mircea Dragoman;Eleonora Pavoni;Elaheh Mohebbi;Luca Pierantoni","doi":"10.1109/JMMCT.2025.3583441","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3583441","url":null,"abstract":"This contribution reports a comprehensive investigation into the development and validation of optimized models for simulating the electronic properties of large-scale graphene-based geometric diodes. Our study incorporates unique features as, for example, a general treatment for the boundary conditions, that include arbitrary impedance constrains for the diode output-terminals. The observed diode-like rectification behavior has its physical origin to be an intrinsic property of in the nonlinear carrier transport partial differential equations with polarity-dependent coefficients in asymmetric geometries. While atomistic methods offer, in principle, high accuracy at the atomic scale, their computational cost renders them impractical for simulating devices with dimensions exceeding a few nanometers. To address this limitation, we have developed an improved drift-diffusion framework that captures the essential physics of charge transport in the non-ballistic limit. Through extensive numerical simulations and new proposed diode topologies, we have investigated the impact of geometric parameters and external bias on the device characteristics. Direct quantitative comparison of independent results, obtained assuming fully coherent and fully diffusive transport in four-terminal diodes, has also been reported. The present model can be effectively used to preliminarily compare different diode geometries and to design/optimize large multi-terminal structures based on graphene.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"315-323"},"PeriodicalIF":1.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11052628","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144640998","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}

引用次数: 0