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Area-Efficient Series-connected Resonant Tunneling Diode Pair as Binary Neuron in Cellular Neural Network
IEEE Electron Device Letters ( IF 4.1 ) Pub Date : 2020-09-01 , DOI: 10.1109/led.2020.3008164
Jongwon Lee , Sunkyu Choi , Seong-Yeon Kim , Jooseok Lee , Kyounghoon Yang

In this letter, we propose an area-efficient series-connected resonant tunneling diode pair device (SCRTD) to utilize as a binary neuron device in cellular neural networks (CNNs). The proposed SCRTD (P-SCRTD) consists of two RTDs interconnected by a floating metal layer with a high-doped epitaxial layer. The P-SCRTD shows a 48 % reduction in area by eliminating the isolation area in the conventional SCRTD (C-SCRTD) owing to the symmetrical I-V characteristic of the RTD, without any performance penalty on the DC and RF characteristics by means of adopting the floating metal layer, compared to the C-SCRTD. CNN application of the P-SCRTD is investigated, showing inherent threshold operation and high-speed (12.5 Gbps) low-power (21 mW) performance, despite using the $2~\mu \text{m}$ technology node, for a unit cell for edge extraction.

中文翻译:

面积有效串联谐振隧道二极管对作为细胞神经网络中的二元神经元

在这封信中,我们提出了一种面积高效的串联谐振隧道二极管对器件 (SCRTD),用作细胞神经网络 (CNN) 中的二元神经元器件。拟议的 SCRTD (P-SCRTD) 由两个 RTD 组成,这些 RTD 通过浮动金属层与高掺杂外延层互连。由于 RTD 具有对称的 IV 特性,P-SCRTD 通过消除传统 SCRTD (C-SCRTD) 中的隔离面积,面积减少了 48%,并且通过采用以下方式对 DC 和 RF 特性没有任何性能损失与 C-SCRTD 相比,浮动金属层。研究了 P-SCRTD 的 CNN 应用,显示了固有的阈值操作和高速 (12.5 Gbps) 低功耗 (21 mW) 性能,尽管使用了 $2~\mu \text{m}$ 技术节点,对于一个单元用于边缘提取的单元格。
更新日期:2020-09-01
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