跳到主要导航 跳到搜索 跳到主要内容

Performance Improvements in GAA NSFET Devices and Circuits Using a Hybrid Dual-κ Spacer Strategy at 3 nm Node and Beyond

  • Meihe Zhang
  • , Lei Cao
  • , Lianlian Li
  • , Qingkun Li
  • , Renjie Jiang
  • , Peng Wang
  • , Yadong Zhang
  • , Jiaxin Yao
  • , Zhaohao Zhang
  • , Qingzhu Zhang
  • , Xinghua Wang
  • , Huaxiang Yin
  • , Jun Luo
  • CAS - Institute of Microelectronics
  • University of Chinese Academy of Sciences

科研成果: 期刊稿件文章同行评审

摘要

The mainstream optimization scheme for parasitic capacitance using low-κ material for outer and inner spacers has drawbacks such as poor robust characteristics of materials and profile control of inner spacers, resulting in deterioration of driving performance of advanced gate-all-around (GAA) nanosheet field effect transistors (NSFETs). To overcome the problem of high parasitic capacitance in GAA NS devices, while reconciling the requirements for high-quality inner spacers and good driving performance, we propose a hybrid dual-κ spacer strategy, using low-κ material for outer spacers and more robust Si3N4 material for inner spacers. The proposed hybrid dual-κ spacer scheme not only solves the poor profile uniformity problem of inner spacers by using more Si3N4 at the inner spacer position but also optimizes the parasitic capacitance of the device by 14.51% (NMOS) and 11.70% (PMOS) than single SiNx spacers, while maintaining its driving characteristics (10.00% (NMOS) and 17.01% (PMOS) better than single low-κ spacers) simultaneously. Circuit performances are thereby improved by 108.41% for 17-stage ring oscillators output frequency and 20.14% for write time in an SRAM unit. Therefore, the proposed scheme is qualified to provide an ideal solution for high-quality production of GAA devices and high-performance circuit applications.

源语言英语
期刊论文编号035001
期刊ECS Journal of Solid State Science and Technology
14
3
DOI
出版状态已出版 - 1 3月 2025

学术指纹

探究 'Performance Improvements in GAA NSFET Devices and Circuits Using a Hybrid Dual-κ Spacer Strategy at 3 nm Node and Beyond' 的科研主题。它们共同构成独一无二的学术指纹。

引用此