کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Physics-Based Learning Approach Using Self-Terms for Electromagnetic Scattering in Multi-Object Scenarios

نویسندگان :

Arefeh Nikdast¹ Amir ahmad Shishegar²

1- دانشگاه صنعتی شریف 2- دانشگاه صنعتی شریف

کلمات کلیدی :

electromagnetic scattering،forward scattering problem،machine learning،physics-informed learning method

چکیده :

This paper presents a novel learning framework for solving electromagnetic scattering problems. While traditional full-wave numerical methods like the Method of Moments (MOM) are effective, they are computationally intensive. Machine learning algorithms offer real-time solutions but are often constrained by their training data. To enhance the performance of these learning-based approaches and avoid black-box models, we integrate physical knowledge of self-terms of scattering into our framework. Our model, designed to predict the interactions between objects, is particularly effective in scenarios involving multiple scatterers. Tested on various dielectric distributions, it achieves accuracy comparable to conventional methods and successfully addresses nonlinear problems where the Born series fails to converge. This framework seamlessly integrates physics-based insights with data-driven methods, facilitating more complex simulations.

لیست مقالات

لیست مقالات بایگانی شده

Wideband and Multi-band Frequency Selective Surfaces for Microwave Shielding

Mahmoodreza Marzban - Abbas Alighanbari

Secrecy Sum Rate Analysis and Power Allocation with OSTBC and Artificial Noise for MIMO Systems

Abdolrasoul Sakhaei Gharagezlou - Mahdi Nangir - Nima Imani - Amir Poorfaraj Liqvan

Coherent Direction of Arrival Estimation using Multiple Toeplitz Space Time Spatial Smoothing

Sepehr Kouzegaran - MASOUMEH AZGHANI

Plasmonic Refractive Index Sensor Using a Metal-Insulator-Metal Waveguide with a Disk-shaped Cavity and Silver Nanorod Defects

Mohammad Ghanavati - Mohammad-Azim Karami

A New Coupled Inductor based Non-Isolated Dual Input Soft-Switching High Step-up DC-DC Converter

Amirreza Razavi Majarshin - Ebrahim Babaei - Mehran Sabahi

Single- and Multi-Hop BERT Question Classifier for Open-Domain Question Answering (SiMQC)

Faeze Zakaryapour Sayyad - Mahdi Bohlouli

تشخیص و مقیاس بندی شدت افسردگی براساس روش‌های یادگیری ماشین و با استفاده از معیار‌های خطی، غیرخطی و آماری محاسبه شده در سیگنال‌های الکتروانسفالگرام

پریسا رئوف امامزاده هاشمی - وحید شالچیان - رضا رستمی

Techno-Economic Dispatch of Distributed Energy Resources for Optimal Grid-Connected Operation of a Microgrid

Selma Cheshmeh khavar - Arya Abdolahi

Improving Quarter-Wavelength Resonator Technique for Parasitic Cancellation of the ESD Protection Diode for High-Frequency Applications

Emadodin Zia Khodadadian - Mojtaba Joodaki

Mapping Human Grasping to 3-Finger Grippers: A Deep Learning Perspective

Fatemeh Naeinian - Elnaz Balazadeh - Mehdi Tale Masouleh

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3