ZnO photoconductive synaptic devices for neuromorphic computing-Reference-Cited by-同舟云学术

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ZnO photoconductive synaptic devices for neuromorphic computing

Published:2023-08 Issue: Volume:162 Page:107489
ISSN:1369-8001
Container-title:Materials Science in Semiconductor Processing
language:en
Short-container-title:Materials Science in Semiconductor Processing

Author:

Shang Qiuchen,Peng Wenbo,Song Tuo,Li Zeyang,Li Fangpei,He Yongning

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference41 articles.

1. In situ training of feed-forward and recurrent convolutional memristor networks;Wang;Nat. Mach. Intell.,2019

2. Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability;Wu;Nat. Commun.,2017

3. The future of electronics based on memristive systems;Zidan;Nat. Electron.,2018

4. A MoS2/PTCDA hybrid heterojunction synapse with efficient photoelectric dual modulation and versatility;Wang;Adv. Mater.,2019

5. Ultralow-power machine vision with self-powered sensor reservoir;Lao;Adv. Sci.,2022

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1. Flexible Phototransistor Array Enhanced by Coupling the Piezo‐Phototronic Effect and the Flexoelectric Effect for Strain/Optical Sensing and Imaging;Advanced Materials Technologies;2024-08-30

2. Metal-Free All Transparent Zinc Oxide-Based Ultraviolet Photodetectors With Simple Bilayer Structure;IEEE Sensors Journal;2024-07-15

3. Zinc oxide thin film transistor with high UV photoelectric sensitivity for artificial neuro networks;Journal of Science: Advanced Materials and Devices;2024-06

4. In-sensor reservoir computing based on optoelectronic synaptic devices;Applied Physics Letters;2023-09-04

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