2018
DOI: 10.1021/acsami.8b10870
|View full text |Cite
|
Sign up to set email alerts
|

All-Oxide-Based Highly Transparent Photonic Synapse for Neuromorphic Computing

Abstract: The neuromorphic system processes enormous information even with very low energy consumption, which practically can be achieved with photonic artificial synapse. Herein, a photonic artificial synapse is demonstrated based on an all-oxide highly transparent device. The device consists of conformally grown InO/ZnO thin films on a fluorine-doped tin oxide/glass substrate. The device showed a loop opening in current-voltage characteristics, which was attributed to charge trapping/detrapping. Ultraviolet illuminati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

3
191
0
5

Year Published

2019
2019
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 207 publications
(208 citation statements)
references
References 45 publications
3
191
0
5
Order By: Relevance
“…[61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ [61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ …”
Section: Supporting Informationunclassified
“…[61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ [61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ …”
Section: Supporting Informationunclassified
“…[10][11][12][13] Therefore, the emulated synaptic plasticity of STP and LTP render themselves supportive to the sophisticated cognitive function and adaptive behavior pattern.The emphasis on neuroinspired computing so far has been predominantly in electrical stimulation-induced resistance state switching in phase change memories, [14,15] memristors, [16][17][18][19][20][21][22][23][24] as well as transistor-based memories. To achieve artificial synaptic recognition for learning and memory in electronic devices, concomitant plasticity with different timescale is essential.…”
mentioning
confidence: 99%
“…To achieve artificial synaptic recognition for learning and memory in electronic devices, concomitant plasticity with different timescale is essential. [31][32][33][34] In addition, photonic synapse based on Parallel information storage coupled with storage density is a major focus for non-volatile memory devices to achieve neuromorphic computing that can work at low power. [10][11][12][13] Therefore, the emulated synaptic plasticity of STP and LTP render themselves supportive to the sophisticated cognitive function and adaptive behavior pattern.…”
mentioning
confidence: 99%
See 2 more Smart Citations