This paper outlines the early history of optimization technology for the design of microwave
circuits—a personal journey filled with aspirations, academic contributions, and commercial …

The utilization of Bayesian methods has been widely acknowledged as a viable solution for
tackling various challenges in electronic integrated circuit (IC) design under stochastic …

In this article, we propose a novel batch Bayesian and Gaussian process enhanced
subspace derivative free optimization (DFO) method to solve high-dimensional and …

Artificial intelligence (AI) techniques are increasingly being used for the inverse design of
microwave devices. However, several challenges, including intensive computation costs for …

This brief describes the design and characteristics of a wideband low-noise
transconductance amplifier (LNTA) based on cascode inverter cells for use in surface …

Recent advances in machine learning (ML) for automating analog circuit synthesis have
been significant, yet challenges remain. A critical gap is the lack of a standardized …

In the field of radio frequency (RF) device design, an optimization method of RF filter based
on neural network is proposed in this paper, which is suitable for the rapid customized …

This paper proposes an automated optimization method for low-noise amplifiers (LNAs)
based on behavioral-level parameters modeling and multi-objective optimization algorithms …