Machine-learning-powered EM-based framework for efficient and reliable design of low scattering metasurfaces
Popularity of metasurfaces has been continuously growing due to their attractive properties
including the ability to effectively manipulate electromagnetic (EM) waves. Metasurfaces …
including the ability to effectively manipulate electromagnetic (EM) waves. Metasurfaces …
Accurate modeling of antenna structures by means of domain confinement and pyramidal deep neural networks
The importance of surrogate modeling techniques has been gradually increasing in the
design of antenna structures over the recent years. Perhaps the most important reason is a …
design of antenna structures over the recent years. Perhaps the most important reason is a …
Expedited yield optimization of narrow-and multi-band antennas using performance-driven surrogates
Uncertainty quantification is an important aspect of engineering design, also pertaining to
the development and performance evaluation of antenna systems. Manufacturing tolerances …
the development and performance evaluation of antenna systems. Manufacturing tolerances …
Antenna optimization using machine learning with reduced-dimensionality surrogates
In modern times, antenna design has become more demanding than ever. The escalating
requirements for performance and functionality drive the development of intricately …
requirements for performance and functionality drive the development of intricately …
Low-cost modeling of microwave components by means of two-stage inverse/forward surrogates and domain confinement
Full-wave electromagnetic (EM) analysis is one of the most important tools in the design of
modern microwave components and systems. EM simulation permits reliable evaluation of …
modern microwave components and systems. EM simulation permits reliable evaluation of …
Low-cost and highly accurate behavioral modeling of antenna structures by means of knowledge-based domain-constrained deep learning surrogates
The awareness and practical benefits of behavioral modeling methods have been steadily
growing in the antenna engineering community over the last decade or so. Undoubtedly, the …
growing in the antenna engineering community over the last decade or so. Undoubtedly, the …
On nature-inspired design optimization of antenna structures using variable-resolution EM models
Numerical optimization has been ubiquitous in antenna design for over a decade or so. It is
indispensable in handling of multiple geometry/material parameters, performance goals …
indispensable in handling of multiple geometry/material parameters, performance goals …
Reliable computationally efficient behavioral modeling of microwave passives using deep learning surrogates in confined domains
The importance of surrogate modeling techniques has been steadily growing over the recent
years in high-frequency electronics, including microwave engineering. Fast metamodels are …
years in high-frequency electronics, including microwave engineering. Fast metamodels are …
Two-stage variable-fidelity modeling of antennas with domain confinement
Surrogate modeling has become the method of choice in solving an increasing number of
antenna design tasks, especially those involving expensive full-wave electromagnetic (EM) …
antenna design tasks, especially those involving expensive full-wave electromagnetic (EM) …
Recent advances in high frequency modeling by means of domain confinement and nested kriging
Development of modern high-frequency components and circuits is heavily based on full-
wave electromagnetic (EM) simulation tools. Some phenomena, although important from the …
wave electromagnetic (EM) simulation tools. Some phenomena, although important from the …