Nitrogen doping effect on InGaZnO-based artificial synapse for implementing reservoir computing and SVHN dataset pattern recognition-Reference-Cited by-同舟云学术

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Nitrogen doping effect on InGaZnO-based artificial synapse for implementing reservoir computing and SVHN dataset pattern recognition

Published:2024-10 Issue: Volume:129 Page:110015
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Mahata Chandreswar,So Hyojin,Ju Dongyeol,Ismail Muhammad,Kim Sungjoon,Hsu Chih-Chieh,Park Kyungchul,Kim Sungjun

Funder

NRF

Publisher

Elsevier BV

Reference86 articles.

1. Memristive crossbar arrays for brain-inspired computing;Xia;Nat. Mater.,2019

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

3. Brain-inspired computing with resistive switching memory (RRAM): devices, synapses and neural networks;Ielmini;Microelectron. Eng.,2018

4. Nano t-Se peninsulas embedded in natively oxidized 2D TiSe2 enable uniform and fast memristive switching;Xiong;ACS Appl. Mater. Interfaces,2023

5. Investigation of resistive switching mechanisms in Ti/TiO x /Pd-based RRAM devices;Hu;Adv. Electron. Mater.,2022

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