A 2D material-based floating gate device with linear synaptic weight update. Issue 48 (15th December 2020)

• Record Type: Journal Article
• Authors: Park, Eunpyo; Kim, Minkyung; Kim, Tae Soo; Kim, In Soo; Park, Jongkil; Kim, Jaewook; Jeong, YeonJoo; Lee, Suyoun; Kim, Inho; Park, Jong-Keuk; Kim, Gyu Tae; Chang, Jiwon; Kang, Kibum; Kwak, Joon Young
• Is Part Of: Nanoscale. Volume 12:Issue 48(2020)
• Page Start: 24503
• Page End: 24509
• Publication Date: 2020-12-15
• Subjects: Nanoscience -- Periodicals; Nanotechnology -- Periodicals; 620.505
• DOI: 10.1039/d0nr07403a
• Languages: English
• ISSNs: 2040-3364

Abstract

Abstract : A three-terminal top-gated flash device based on two-dimensional materials with a high coupling ratio exhibits highly linear synaptic weight updates. Abstract : Neuromorphic computing is of great interest among researchers interested in overcoming the von Neumann computing bottleneck. A synaptic device, one of the key components to realize a neuromorphic system, has a weight that indicates the strength of the connection between two neurons, and updating this weight must have linear and symmetric characteristics. Especially, a transistor-type device has a gate terminal, separating the processes of reading and updating the conductivity, used as a synaptic weight to prevent sneak path current issues during synaptic operations. In this study, we fabricate a top-gated flash memory device based on two-dimensional (2D) materials, MoS2 and graphene, as a channel and a floating gate, respectively, and Al2 O3 and HfO2 to increase the tunneling efficiency. We demonstrate the linear weight updates and repeatable characteristics of applying negative/positive pulses, and also emulate spike timing-dependent plasticity (STDP), one of the learning rules in a spiking neural network (SNN).