[논문]Area-Efficient Series-Connected Resonant Tunneling Diode Pair as Binary Neuron in Cellular Neural Network

Lee, Jongwon; Choi, Sunkyu; Kim, Seong-Yeon; Lee, Jooseok; Yang, Kyounghoon

doi:10.1109/led.2020.3008164

[해외논문] Area-Efficient Series-Connected Resonant Tunneling Diode Pair as Binary Neuron in Cellular Neural Network

IEEE electron device letters : a publication of the IEEE Electron Devices Society, v.41 no.9, 2020년, pp.1308 - 1311

Lee, Jongwon (National Nanofab Center (NNFC), Daejeon, South Korea) , Choi, Sunkyu (Chungnam National University, Daejeon, South Korea) , Kim, Seong-Yeon (SK Hynix, Icheon, South Korea) , Lee, Jooseok (Samsung Electronics Company Ltd., Suwon, South Korea) , Yang, Kyounghoon (Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea)

Abstract ▼ AI-Helper

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.

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DOI : 10.1109/LED.2020.3008164
IEEE : 저널 > 논문

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