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Large Memory Window of van der Waals Heterostructure Devices Based on MOCVD-Grown 2D Layered Ge4Se9

Cited 22 time in Web of Science Cited 21 time in Scopus
Authors

Noh, Gichang; Song, Hwayoung; Choi, Heenang; Kim, Mingyu; Jeong, Jae Hwan; Lee, Yongjoon; Choi, Min-Yeong; Oh, Saeyoung; Jo, Min-kyung; Woo, Dong Yeon; Jo, Yooyeon; Park, Eunpyo; Moon, Eoram; Kim, Tae Soo; Chai, Hyun-Jun; Huh, Woong; Lee, Chul-Ho; Kim, Cheol-Joo; Yang, Heejun; Song, Senugwoo; Jeong, Hu Young; Kim, Yong-Sung; Lee, Gwan-Hyoung; Lim, Jongsun; Kim, Chang Gyoun; Chung, Taek-Mo; Kwak, Joon Young; Kang, Kibum

Issue Date
2022-10
Publisher
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Citation
Advanced Materials, Vol.34 No.41, p. 2204982
Abstract
Van der Waals (vdW) heterostructures have drawn much interest over the last decade owing to their absence of dangling bonds and their intriguing low-dimensional properties. The emergence of 2D materials has enabled the achievement of significant progress in both the discovery of physical phenomena and the realization of superior devices. In this work, the group IV metal chalcogenide 2D-layered Ge4Se9 is introduced as a new selection of insulating vdW material. 2D-layered Ge4Se9 is synthesized with a rectangular shape using the metalcorganic chemical vapor deposition system using a liquid germanium precursor at 240 degrees C. By stacking the Ge4Se9 and MoS2, vdW heterostructure devices are fabricated with a giant memory window of 129 V by sweeping back gate range of +/- 80 V. The gate-independent decay time reveals that the large hysteresis is induced by the interfacial charge transfer, which originates from the low band offset. Moreover, repeatable conductance changes are observed over the 2250 pulses with low non-linearity values of 0.26 and 0.95 for potentiation and depression curves, respectively. The energy consumption of the MoS2/Ge4Se9 device is about 15 fJ for operating energy and the learning accuracy of image classification reaches 88.3%, which further proves the great potential of artificial synapses.
ISSN
0935-9648
URI
https://hdl.handle.net/10371/191459
DOI
https://doi.org/10.1002/adma.202204982
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  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area 2차원 반도체 소자 및 재료, High-Performance 2D Electronics, Low-Power 2D Electronics, 뉴로모픽 소자 및 응용기술, 저전력 소자 및 소자물리

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