Open Access
,
pages 2201421
Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing
Publication type: Journal Article
Publication date: 2022-09-12
scimago Q1
wos Q2
SJR: 1.154
CiteScore: 9.6
Impact factor: 4.4
ISSN: 21967350
Mechanical Engineering
Mechanics of Materials
Abstract
Neuromorphic technology is the next stage in the evolution of high-performance computing, with its ability to dramatically improve data processing and learning. Hence, the exploration of synaptic electronic devices with multiple excitation modes is the main area of concern. In this work, a vertical organic ferroelectric synaptic transistor (VOFST) capable of achieving the synaptic plasticity is demonstrated, profit by its nanoscale channel length and unique working principle, which exhibits excellent gate modulation capability and good synaptic properties. Based on the excellent tunability of VOFST in various excitation modes, a “Morse code” decoding scheme and the application of the signal identification of over-threshold are proposed. Most importantly, the internal carrier dynamics modulated by VOFST's ferroelectric polarization induction enables the transistor to directly process the temporal information for image recognition tasks. This work guides the development of synaptic devices and provides a platform to realize the neuromorphic functions in electronic field.
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Metrics
12
Total citations:
12
Citations from 2024:
9
(75%)
The most citing journal
Citations in journal:
3
Cite this
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BibTex
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GOST
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Sun Y. et al. Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing // Advanced Materials Interfaces. 2022. p. 2201421.
GOST all authors (up to 50)
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Sun Y., Wang Y., Yuan Q., He N., Wen D. Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing // Advanced Materials Interfaces. 2022. p. 2201421.
Cite this
RIS
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TY - JOUR
DO - 10.1002/admi.202201421
UR - https://doi.org/10.1002/admi.202201421
TI - Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing
T2 - Advanced Materials Interfaces
AU - Sun, Yanmei
AU - Wang, Yufei
AU - Yuan, Qi
AU - He, Nian
AU - Wen, Dianzhong
PY - 2022
DA - 2022/09/12
PB - Wiley
SP - 2201421
SN - 2196-7350
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Sun,
author = {Yanmei Sun and Yufei Wang and Qi Yuan and Nian He and Dianzhong Wen},
title = {Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing},
journal = {Advanced Materials Interfaces},
year = {2022},
publisher = {Wiley},
month = {sep},
url = {https://doi.org/10.1002/admi.202201421},
pages = {2201421},
doi = {10.1002/admi.202201421}
}