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

Sun, Yabin; Wang, Meng; Li, Xianglong; Hu, Shaojian; Liu, Ziyu*; Liu, Yun; Li, Xiaojin; Shi, Yanling
Science Citation Index Expanded
复旦大学

摘要

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.

关键词

Capacitance Logic gates Integrated circuit modeling Resistance Transistors Standards Inverters 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