@inproceedings{cddd4865d17649ada57c98445fc7fb61,
title = "Performance Evaluation of Strain Effectiveness of Sub-5 nm GAA FETs with Compact Modeling based on Neural Networks",
abstract = "In this paper, strain effectiveness in 3-stacked gate-all-around (GAA) FETs has been investigated using process and device simulations for sub-5 nm technology node. We induce strain into the Si channels in GAA FETs by modifying the source and drain epitaxy to investigate the effectiveness of strain in GAA FETs. We chose SiGe as source and drain for pMOS, and SiC for nMOS. To verify I-V characteristics of GAA FETs, the drift-diffusion transport model was calibrated with Monte Carlo simulations. Furthermore, a compact model based on neural networks has been developed to evaluate the performance of a 5-stage ring oscillator with strained and unstrained GAA FETs using SPICE simulation. Our simulation results indicate that circuits with 1 \% strained GAA FETs shows 92.22 ps ring oscillator propagation delay time compared to 130.67",
keywords = "Compact model, GAA FETs, Strain",
author = "Lee, \{Ji Hwan\} and Kihwan Kim and Kyungjin Rim and Soogine Chong and Hyunbo Cho and Saeroonter Oh",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2023 ; Conference date: 07-03-2023 Through 10-03-2023",
year = "2023",
doi = "10.1109/EDTM55494.2023.10103058",
language = "English",
series = "7th IEEE Electron Devices Technology and Manufacturing Conference: Strengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "7th IEEE Electron Devices Technology and Manufacturing Conference",
}