COMMENTS

  1. Machine Learning Advances in Computational Electromagnetics

    This chapter explores the emerging topic of computational electromagnetics (CEM) augmentation using machine learning techniques, which has disruptive potential due to its ability to evaluate solutions to CEM problems with unprecedented speeds. We discuss how recent developments in machine learning hardware and software can enhance conventional CEM techniques and enable specialized CEM ...

  2. PDF Machine Learning Advances in Computational Electromagnetics

    This chapter explores the emerging topic of computational electromagnetics (CEM) augmentation using machine learning techniques, which has disruptive potential due to ... promising research opportunities in this highly fertile area of investigation. Keywords— Computational electromagnetics, Electromagnetic surrogate solvers, Physics-

  3. New trends in computational electromagnetics

    Abstract. Electromagnetics is based on the study of Maxwell's equations, which are the result of the seminal work of James Clerk Maxwell completed in 1865, after his presentation to the British Royal Society in 1864. It has been over 150 years ago now, and this is a long time compared to the recent leaps and bounds progress made in ...

  4. Trends in computational electromagnetics

    Current active and trending fields of research in Computational Electromagnetics (CEM) are shortly addressed: This includes the impact of many core computer hardware systems on CEM simulation schemes ranging from low cost tablets to scalable cloud computing solutions. Multi parameter optimization and uncertainty quantification schemes may require up to several thousand simulation runs which ...

  5. Recent Advancements and Applications of Computational Electromagnetics

    Developing numerical methods to solve dynamic electromagnetic problems has broad application prospects. In computational electromagnetics, traditional numerical methods are commonly used to deal with static electromagnetic problems. However, they can hardly be applied in the modeling of time-varying materials and moving objects.

  6. Machine Learning Advances in Computational Electromagnetics

    This chapter explores the emerging topic of computational electromagnetics (CEM) augmentation using machine learning techniques, which has disruptive potential due to its ability to evaluate solutions to CEM problems with unprecedented speeds. ... Maxwell's equations, or both. The chapter concludes with a perspective on the most promising ...

  7. Computational Electromagnetics

    Explore the latest full-text research PDFs, articles, conference papers, preprints and more on COMPUTATIONAL ELECTROMAGNETICS. Find methods information, sources, references or conduct a literature ...

  8. Application of Computational Electromagnetics Techniques and Artificial

    However, traditional computational electromagnetic algorithms, when faced with device optimization design scenarios that require a large number of repeated calculations, cannot effectively utilize historical data to mine the underlying physical laws; therefore, they cannot achieve faster iteration [].At the same time, traditional algorithms generate a large number of intermediate calculation ...

  9. 75 Years of IEEE AP-S Research in Computational Electromagnetics: A

    This article presents an overview of 75 years of research in computational electromagnetics (CEM) within the IEEE Antennas and Propagation Society (AP-S) and the AP community at large on the occasion of the 75th anniversary of AP-S, where both CEM and AP-S have similar and interwoven histories of 75 years, a half of the history of Maxwell's equations. The article discusses the discoveries ...

  10. Applied Computational Electromagnetics

    Survey of latest research on computational electromagnetics; ... The collective presentation of the principal computational electromagnetics techniques, developed to handle diverse challenging leading edge technology problems, is expected to be useful to researchers and postgraduate students working in various topics of electromagnetic ...

  11. Recent Advances in Computational Electromagnetics for Emerging

    Download Call for Papers (PDF) Submission Deadline: 28 February 2021 Aims & Scope: With the development of computational electromagnetics (CEM) methods and high-performance computers, the CEM community has achieved a great number of breakthroughs.However, regarding the emerging realistic applications in engineering designs, many new challenges are arising, e.g. multiscale modeling and ...

  12. Computational Electromagnetics—Retrospective and Outlook

    The book is written for students, research scientists, professors, design engineers and consultants who engaged in the fields of design, analysis and research of the emerging technologies related to computational electromagnetics, RF/microwave, optimization, new numerical methods, as well as accelerator simulator, dispersive materials, nano ...

  13. Application of Computational Electromagnetics Techniques and Artificial

    This Special Issue provides a platform for various theoretical and applied research of computational electromagnetic methods. All papers related to computational electromagnetics techniques are welcome. Topics of Interest of this Special Issue include, but are not limited to: Computational electromagnetics techniques

  14. Advanced Computational Electromagnetic Methods

    This new resource covers the latest developments in computational electromagnetic methods, with emphasis on cutting-edge applications. This book is designed to extend existing literature to the latest development in computational electromagnetic methods, which are of interest to readers in both academic and industrial areas. The topics in...

  15. Computational Electromagnetics

    Computational Electromagnetics is a young and growing discipline, expanding as a result of the steadily increasing demand for software for the design and analysis of electrical devices. This book introduces three of the most popular numerical methods for simulating electromagnetic fields: the finite difference method, the finite element method ...

  16. Electromagnetics, optics, and remote sensing

    Current research projects in these areas include development of fast algorithms and high-order numerical methods in computational electromagnetics; development of numerical techniques for multi-scale and multi-physics modeling that can be used to study electromagnetic phenomena and improve system performance; reconfigurable antennas that can be used in multifunctional, cognitive, and sensing ...

  17. Computational Electromagnetics: The Method of Moments

    It is one of the dominant methods in computational electromagnetics. The chapter further describes basic principle of computational electromagnetics. The solutions to Maxwell's equations are sought directly by solving related differential equations. Alternatively, they are obtained by solving an integral equation derived from Maxwell's equations.

  18. J

    Computational electromagnetics is a topic of high interest for engineers in search of more accurate numerical tools to predict the performances of industrial electromagnetic devices. It is also of interest for other scientists such physicists, medical doctors, biologist, etc., whose research involves dealing with electromagnetic fields.

  19. 21st Century Electromagnetics

    Topic 6 — Design Techniques for 21st Century Electromagnetics. This complete course covers the finite-difference method and transformation optics and then steps the student through every single line of code in MATLAB to implement a numerical transformation optics code. After this course, the student will be able to design a cloak of any shape ...

  20. A Unified View of Computational Electromagnetics

    This article presents a unified description of numerical methods for solving electromagnetic field problems. Traditionally, these methods are considered to be independent and alternative ways of solving Maxwell's equations or equations derived therefrom. However, they all are projective approximations of the unknown solution by known expansion or basis functions with unknown amplitude ...

  21. School of Electrical Engineering and Computer Science

    Electromagnetics. Current research activities include computational electromagnetics (including optimization and machine learning), wave scattering and propagation, engineered materials (including metamaterials and surfaces), electrodynamics, antenna analysis and design (including wearable), nanoscale electromagnetics, RF and microwave systems, and electronic packaging with applications in ...

  22. Editorial Introduction to the Special Issue on Advances of

    Abstract: We are very pleased to present this Special Issue, which collects scientific contributions in the field of computational electromagnetics (CEM) for electromagnetic compatibility (EMC). Published in: IEEE Transactions on Electromagnetic Compatibility ( Volume: 65 , Issue: 6 , December 2023) Article #: Page(s ...

  23. Computational Electromagnetics: The Finite-Difference Time-Domain

    FDTD and related space-grid time-domain techniques are direct solution methods for Maxwell's curl equations. These methods employ no potentials; rather they are based on volumetric sampling of the unknown electric and magnetic fields in and surrounding the structure of interest over a period of time. FDTD is one of the most powerful and widely ...