Please use this identifier to cite or link to this item: https://doi.org/10.1002/aelm.202000057
Title: A van der Waals Synaptic Transistor Based on Ferroelectric Hf0.5Zr0.5O2 and 2D Tungsten Disulfide
Authors: Li Chen 
Lin Wang
Yue Peng
Xuewei Feng 
Soumya Sarkar 
Sifan Li 
Bochang Li 
Liang Liu 
Kaizhen Han 
Xiao Gong 
Jingsheng Chen 
Yan Liu
Genquan Han
Kah Wee Ang 
Keywords: ferroelectric gate stacks
HZO
synaptic transistors
van der Waals
WS2
Issue Date: 8-May-2020
Publisher: Wiley
Citation: Li Chen, Lin Wang, Yue Peng, Xuewei Feng, Soumya Sarkar, Sifan Li, Bochang Li, Liang Liu, Kaizhen Han, Xiao Gong, Jingsheng Chen, Yan Liu, Genquan Han, Kah Wee Ang (2020-05-08). A van der Waals Synaptic Transistor Based on Ferroelectric Hf0.5Zr0.5O2 and 2D Tungsten Disulfide. Advanced Electronic Materials 6 (6). ScholarBank@NUS Repository. https://doi.org/10.1002/aelm.202000057
Abstract: Neuromorphic computing on the hardware level is promising for performing ever-increasing data-centric tasks owing to its superiority to conventional von Neumann architecture in terms of energy efficiency and learning ability. One key aspect to its implementation is the development of artificial synapses that can effectively emulate the multiple functionalities exhibited by their biological counterparts. Here, building on an inorganic ferroelectric gate stack integrated with a 2D layered semiconductor (WS2), a new type of ferroelectricity-based synaptic transistor that differs from those relying on interface traps or floating gate configuration is reported. By virtue of a 6 nm thick ferroelectric hafnium zirconium oxide by atomic layer deposition and postannealing treatment, the device shows a channel resistance change ratio above 105 corresponding to opposite ferroelectric polarization direction. Furthermore, by applying electrical stimulus to the gate, it demonstrates good capability to mimic various synaptic behaviors including long-term potentiation, long-term depression, spike-amplitude-dependent plasticity, and spikerate-dependent plasticity. Given the inherent compatibility of the ferroelectric gate stack with existing fabrication technology, and the reliability of ferroelectricity engineering, this work paves the way toward practical implementation of synaptic devices in neuromorphic circuits.
Source Title: Advanced Electronic Materials
URI: https://scholarbank.nus.edu.sg/handle/10635/238666
ISSN: 2199-160X
DOI: 10.1002/aelm.202000057
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