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 …
Analog Integrated Circuit Routing Techniques: An Extensive Review
RMF Martins, NCC Lourenço - IEEE Access, 2023 - ieeexplore.ieee.org
Routing techniques for analog and radio-frequency (A/RF) integrated circuit (IC) design
automation have been proposed in the literature for over three decades. On those, an …
automation have been proposed in the literature for over three decades. On those, an …
Overview of artificial neural networks
JPS Rosa, DJD Guerra, NCG Horta… - Using artificial neural …, 2020 - Springer
This chapter starts with a review of modern machine learning (ML) techniques. Advantages
and disadvantages of several ML methods taking into account its application to the …
and disadvantages of several ML methods taking into account its application to the …
Design of a 4.2-to-5.1 GHz ultralow-power complementary class-B/C hybrid-mode VCO in 65-nm CMOS fully supported by EDA tools
Optimal voltage-controlled oscillator (VCO) design for ultralow-power (ULP) radios has to
fulfill simultaneously multiple requirements such as frequency tuning range, phase noise …
fulfill simultaneously multiple requirements such as frequency tuning range, phase noise …
Many-objective sizing optimization of a class-C/D VCO for ultralow-power IoT and ultralow-phase-noise cellular applications
In this paper, the performance boundaries and corresponding tradeoffs of a complex dual-
mode class-C/D voltage-controlled oscillator (VCO) are extended using a framework for the …
mode class-C/D voltage-controlled oscillator (VCO) are extended using a framework for the …
Semi-supervised artificial neural networks towards analog IC placement recommender
This paper presents an innovative approach toward the automation of the placement task of
analog integrated circuit layout design by using an artificial neural network that generates …
analog integrated circuit layout design by using an artificial neural network that generates …
Artificial neural networks as an alternative for automatic analog IC placement
In this paper, an exploratory research using artificial neural networks (ANNs) is conducted to
automate the placement task of analog IC layout design. The proposed methodology …
automate the placement task of analog IC layout design. The proposed methodology …
Shortening the gap between pre-and post-layout analog IC performance by reducing the LDE-induced variations with multi-objective simulated quantum annealing
The design of analog and mixed-signal integrated circuits (ICs) is intricate due to the
continuous nature of the signals handled. Still, it is also strongly affected by the physical …
continuous nature of the signals handled. Still, it is also strongly affected by the physical …
In-depth design space exploration of 26.5-to-29.5-GHz 65-nm CMOS low-noise amplifiers for low-footprint-and-power 5G communications using one-and-two-step …
Low-noise amplifiers (LNAs) play a significant role in modern millimeter-wave (mmWave)
integrated circuits for fifth-generation (5G) communications systems. However, the proper …
integrated circuits for fifth-generation (5G) communications systems. However, the proper …
DeepPlacer: a custom integrated OpAmp placement tool using deep models
Mechanisms towards the automatic analog integrated circuit layout design have been an
intensive research topic in the past few decades. Still, the industrial environment has no …
intensive research topic in the past few decades. Still, the industrial environment has no …