Large Memory Window of van der Waals Heterostructure Devices Based on MOCVD-Grown 2D Layered Ge4 Se9

Bibliographische Detailangaben
Veröffentlicht in:	Advanced materials (Deerfield Beach, Fla.). - 1998. - 34(2022), 41 vom: 31. Okt., Seite e2204982
1. Verfasser:	Noh, Gichang (VerfasserIn)
Weitere Verfasser:	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
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	Advanced materials (Deerfield Beach, Fla.)
Schlagworte:	Journal Article charge transfer germanium selenide metal-organic chemical vapor deposition synaptic devices van der Waals heterostructures

Beschreibung
Zusammenfassung:	© 2022 Wiley-VCH GmbH. 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 Ge4 Se9 is introduced as a new selection of insulating vdW material. 2D-layered Ge4 Se9 is synthesized with a rectangular shape using the metalcorganic chemical vapor deposition system using a liquid germanium precursor at 240 °C. By stacking the Ge4 Se9 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 /Ge4 Se9 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
Beschreibung:	Date Revised 14.10.2022 published: Print-Electronic Citation Status PubMed-not-MEDLINE
ISSN:	1521-4095
DOI:	10.1002/adma.202204982