Diagnosis for Reconfigurable Single-Electron Transistor Arrays with a More Generalized Defect Model

Chia Cheng Wu, Yi Hsiang Hu, Chia Chun Lin, Yung Chih Chen, Juinn Dar Huang, Chun Yao Wang

研究成果: Article同行評審

摘要

Singe-Electron Transistor (SET) is considered as a promising candidate of low-power devices for replacement or co-existence with Complementary Metal-Oxide-Semiconductor (CMOS) transistors/circuits. In this work, we propose a diagnosis approach for SET array under a more generalized defect model. With the more generalized defect model, the diagnosis approach will become more practical but complicated. We conducted experiments on a set of SET arrays with different dimensions and defect rates. The experimental results show that our approach only has 3.8% false-negative rate and 0.7% misjudged-category rate on average without reporting any false-positive edge when the defect rate is 4%. Therefore, the proposed diagnosis approach can diagnose the defective SET arrays and elevate the reliability of the SET arrays in the synthesis flow.

原文English
文章編號15
期刊ACM Journal on Emerging Technologies in Computing Systems
17
發行號2
DOIs
出版狀態Published - 5 4月 2021

指紋

深入研究「Diagnosis for Reconfigurable Single-Electron Transistor Arrays with a More Generalized Defect Model」主題。共同形成了獨特的指紋。

引用此