With the development of neuromorphic electronics, much effort has been devoted to the design and manufacture of synaptic electronic devices with large scale and cost-efficient. In this paper, an In2O3 synaptic transistor array gated by screen-printed ion-gel was demonstrated. Due to the ion-gel/Al2O3 stacked gate dielectric, all devices on the array achieved a large hysteresis window of >1 V, a steep back sweep subthreshold swing of <60 mV/decade, and a nonvolatile memory behavior, showing that the screen-printed ion-gel has satisfactory uniformity in large scale. In addition, short-term to long-term plasticity, paired-pulse facilitation, and spike-rate-dependent plasticity are simulated. Based on the plasticity regulated with the spike frequency, a high-pass filter was realized. Flash memory as a special memory model in the nervous system has been simulated in the array. This study provides a unique platform for designing high-performance, repeatable, and stable artificial synapses for the neuromorphic system.
Skip Nav Destination
Article navigation
6 June 2022
Research Article|
June 07 2022
Printable ion-gel-gated In2O3 synaptic transistor array for neuro-inspired memory
Chenxing Jin;
Chenxing Jin
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Wanrong Liu;
Wanrong Liu
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Yulong Huang;
Yulong Huang
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Yunchao Xu;
Yunchao Xu
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Yiling Nie;
Yiling Nie
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Gengming Zhang
;
Gengming Zhang
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Pei He;
Pei He
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Jia Sun
;
Jia Sun
a)
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Junliang Yang
Junliang Yang
a)
1
Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University
, Changsha, Hunan 410083, People's Republic of China
2
School of Physics and Electronics, Hunan Key Laboratory of Nanophotonics and Devices, Central South University
, 932 South Lushan Road, Changsha, Hunan 410083, People's Republic of China
Search for other works by this author on:
Appl. Phys. Lett. 120, 233701 (2022)
Article history
Received:
March 25 2022
Accepted:
May 28 2022
Citation
Chenxing Jin, Wanrong Liu, Yulong Huang, Yunchao Xu, Yiling Nie, Gengming Zhang, Pei He, Jia Sun, Junliang Yang; Printable ion-gel-gated In2O3 synaptic transistor array for neuro-inspired memory. Appl. Phys. Lett. 6 June 2022; 120 (23): 233701. https://doi.org/10.1063/5.0092968
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Roadmap on photonic metasurfaces
Sebastian A. Schulz, Rupert. F. Oulton, et al.
Superconducting flip-chip devices using indium microspheres on Au-passivated Nb or NbN as under-bump metallization layer
Achintya Paradkar, Paul Nicaise, et al.
Related Content
Printable sensors for explosive detonation
Appl. Phys. Lett. (October 2014)
A systematic approach for synthesizing 3D-printable all-dielectric devices
J. Appl. Phys. (December 2024)
An overview of neural networks, fuzzy systems and neuro-fuzzy systems
AIP Conf. Proc. (February 2024)
Neuro-fuzzy models for operational forecasting of electric energy consumption of the urban system
AIP Conference Proceedings (October 2021)
Prediction of micro abrasive intermittent jet machining process using adaptive neuro-fuzzy inference system
AIP Conf. Proc. (August 2019)