Benchmarking of multi-bridge-channel FETs toward analog and mixed-mode circuit applications

VB Sreenivasulu, AK Neelam, AK Panigrahy… - IEEE …, 2024 - ieeexplore.ieee.org
In this study, for the very first time developing of n-and p-type 3-D single-channel (SC)
FinFET and gate-all-around (GAA) Multi-Bridge-Channel FETs (MBCFET) like nanowire FET …

Multi-objective optimization and inverse design of complementary field-effect transistor using combined approach of machine learning and non-dominated sorting …

S Kim, SJ Min, SG Jung, HY Yu - Engineering Applications of Artificial …, 2024 - Elsevier
Complementary field-effect transistors (CFETs), which are structures in which different types
of transistors are vertically stacked with a shared control gate, are being focused on for …

Machine Learning-Assisted Device Circuit Co-Optimization: A Case Study on Inverter

L Xue, A Dixit, N Kumar, V Georgiev… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This study demonstrates a machine learning (ML)-assisted device circuit co-optimization
technique. A basic CMOS inverter cell is employed to demonstrate this proof of concept. The …

Towards machine learning-assisted electronic design automation: microwave filter, power amplifier, and semiconductor device

L Xue - 2024 - theses.gla.ac.uk
Over the decades of development, electronic design automation (EDA) has been widely
applied in most electronic design problems, especially in advanced and sophisticated digital …