Improved MEOL and BEOL Parasitic-Aware Design Technology Co-Optimization for 3 nm Gate-All-Around Nanosheet Transistor

Yabin Sun, Meng Wang, Xianglong Li, Shaojian Hu, Ziyu Liu, Yun Liu, Xiaojin Li, Yanling Shi

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this article, an improved parasitic-aware design technology co-optimization (DTCO) for gate-all-around nanosheet field effect transistor (GAA-NSFET) at 3 nm node is proposed. The presented DTCO flow owns two distinct features. First, a novel de-embedding strategy is designed to avoid the repeated calculation of gate-source/drain contact capacitance. Second, the parasitic resistance of the middle-end-of-line (MEOL) and back-end-of-line (BEOL) is accurately extracted, combing the front-end-of-line (FEOL) simulation and the calculation of MEOL/BEOL equivalent interconnect length. The power, performance, and area (PPA) of the benchmark circuit [15-stage ring oscillator (RO)] are collaboratively optimized. Considering the limitation of contacted gate pitch (CGP) and the process effects, the compromise of structure parameters is studied. GAA-NSFET architecture with 48% reduction in power consumption, 26% increase in speed, and 46% reduction in area is achieved, satisfying the scaling requirement from 5 to 3 nm node. All data here provide an optimization and design foundation for GAA-NSFET in future 3 nm technology node.

Original languageEnglish
Pages (from-to)462-468
Number of pages7
JournalIEEE Transactions on Electron Devices
Volume69
Issue number2
DOIs
StatePublished - 1 Feb 2022

Keywords

  • Back-end-of-line (BEOL)
  • compact model (CM)
  • design technology co-optimization (DTCO)
  • gate-all-around nanosheet field effect transistor (GAA-NSFET)
  • middle-end-of-line (MEOL)
  • parasitic extraction

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