Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test
Rapid developments in semiconductor technology have substantially increased the
computational capability of computers. As a result of this and recent developments in theory …
computational capability of computers. As a result of this and recent developments in theory …
Applications of artificial intelligence on the modeling and optimization for analog and mixed-signal circuits: A review
Recently, there have been many studies attempting to take advantage of advancements in
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …
Advanced RF and microwave design optimization: A journey and a vision of future trends
In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …
and envisage imminent and future challenges that will be addressed by the next generation …
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 …
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 …
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 …
Improved modeling of microwave structures using performance-driven fully-connected regression surrogate
Fast replacement models (or surrogates) have been widely applied in the recent years to
accelerate simulation-driven design procedures in microwave engineering. The …
accelerate simulation-driven design procedures in microwave engineering. The …
Towards decrypting the art of analog layout: Placement quality prediction via transfer learning
Despite tremendous efforts in analog layout automation, little adoption has been
demonstrated in practical design flows. Traditional analog layout synthesis tools use various …
demonstrated in practical design flows. Traditional analog layout synthesis tools use various …
Expedited variable-resolution surrogate modeling of miniaturized microwave passives in confined domains
The design of miniaturized microwave components is largely based on computational
models, primarily, full-wave electromagnetic (EM) simulations. The EM analysis is capable of …
models, primarily, full-wave electromagnetic (EM) simulations. The EM analysis is capable of …