Carbon Nanotube SRAM in 5-nm Technology Node Design, Optimization, and Performance Evaluation - Part II: CNT Interconnect Optimization

Rongmei Chen (Corresponding author), Lin Chen, Jie Liang, Yuanqing Cheng, Souhir Elloumi, Jaehyun Lee, Kangwei Xu, Vihar P. Georgiev, Kai Ni, Peter Debacker, Asen Asenov, Aida Todri-Sanial

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

1 Citaat (Scopus)

Samenvatting

The size and parameter optimization for the 5-nm carbon nanotube field effect transistor (CNFET) static random access memory (SRAM) cell was presented in Part I of this article. Based on that work, we propose a carbon nanotube (CNT) SRAM array composed of the schematically optimized CNFET SRAM and CNT interconnects. We consider the interconnects inside the CNFET SRAM cell composed of metallic single-wall CNT (M-SWCNT) bundles to represent the metal layers 0 and 1 (M0 and M1). We investigate the layout structure of CNFET SRAM cell considering CNFET devices, M-SWCNT interconnects, and metal electrode Palladium with CNT (Pd-CNT) contacts. Two versions of cell layout designs are explored and compared in terms of performance, stability, and power efficiency. Furthermore, we implement a 16 Kbit SRAM array composed of the proposed CNFET SRAM cells, multiwall CNT (MWCNTs) inter-cell interconnects and Pd-CNT contacts. Such an array shows significant advantages, with the read and write overall energy-delay product (EDP), static power consumption, and core area of 0.28times , 0.52times , and 0.76times respectively to 7-nm FinFET-SRAM array with copper interconnects, whereas the read and write static noise margins are 6% and 12% respectively larger than the FinFET counterpart.

Originele taal-2Engels
Pagina's (van-tot)440-448
Aantal pagina's9
TijdschriftIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume30
Nummer van het tijdschrift4
DOI's
StatusGepubliceerd - 1 apr. 2022
Extern gepubliceerdJa

Financiering

FinanciersFinanciernummer
European Union’s Horizon Europe research and innovation programme894805, 688612

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