| 학회 | 한국재료학회 |
| 학술대회 | 2021년 가을 (11/24 ~ 11/26, 경주 라한호텔) |
| 권호 | 27권 2호 |
| 발표분야 | A. 전자/반도체 재료 분과 |
| 제목 | Nanorod-structured SiOx Switching Devices for Artificial Memristive Neuron and its Computing Applications |
| 초록 | Memristor, which simply consists of a switching layer inserted between two electrodes, is one of the most strong candidates to become a device-platform for imitating the principal characteristics of the biological neural network due to its nonlinear and dynamic electrical characteristics depending on the history of applied electrical programming [1-3]. In this study, we fabricated a nanorod structured SiOx memristor using E-beam evaporator with glancing angle deposition at the wafer-scale and utilized the device as an artificial neuron for probabilistic computing applications. The device can exhibit a low forming voltage (＜ 2 V), a high ON-OFF ratio (＞ 105), reliable switching performances, and fast switching time (~40 ns), where the switching event is attributed to the transition between two Si phases (amorphous Si and Si nanocrystal). Notably, the nanorod structured SiOx can lead to the considerable reduction of forming voltage and enhancement of stochastic switching characteristics, when compared with the typical SiOx memristor. Moreover, using voltage pulse trains, the SiOx nanorod memristor with different glancing angles has successfully mimicked fundamental neuronal dynamics called integrate-and-fire processes and stochastic functionalities for the bayesian network in which each node is probabilistic variables. Then, as a proof of concept, we simulated the probabilistic inference for the correlation between three biological genes. Taken all together, the designed SiOx memristor neuron could pave the way for stochastic artificial neurons and its based probabilistic computing technology. References [1] S. Choi, J.-W. Choi, J. C. Kim, H. Y. Jeong, J. Shin, S. Jang, S. Ham, N.-D. Kim, and G. Wang, Nano Energy, 84, 105947 (2021) [2] S. Choi, J. Yang, G. Wang, Adv. Mater., 32, 2004659 (2020) [3] S. Choi, S. Jang, J.-H. Moon, J. C. Kim, H. Y. Jeong, P. Jang, K.-J. Lee, and G. Wang. NPG Asia Mater. 10, 1097–1106 (2018) |
| 저자 | Sanghyeon Choi1, Gwang Su Kim2, Jehyeon Yang1, Haein Cho1, Chong-Yun Kang2, Gunuk Wang1 |
| 소속 | 1Korea Univ., 2Korea Univ. & KIST |
| 키워드 | SiO<SUB>x</SUB>; Nanorod; Memristor; Artificial neuron; Neuromorphic computing |
