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The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device

This study discusses the potential application of ITO/ZnO/HfO(x)/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>10(2)) and stable retention (>10(4) s). Notably, the formation a...

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Detalles Bibliográficos
Autores principales: Noh, Minseo, Ju, Dongyeol, Cho, Seongjae, Kim, Sungjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648049/
https://www.ncbi.nlm.nih.gov/pubmed/37947701
http://dx.doi.org/10.3390/nano13212856
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author Noh, Minseo
Ju, Dongyeol
Cho, Seongjae
Kim, Sungjun
author_facet Noh, Minseo
Ju, Dongyeol
Cho, Seongjae
Kim, Sungjun
author_sort Noh, Minseo
collection PubMed
description This study discusses the potential application of ITO/ZnO/HfO(x)/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>10(2)) and stable retention (>10(4) s). Notably, the formation and rupture of filaments at the interface of ZnO and HfO(x) contribute to a higher ON/OFF ratio and improve cycle uniformity compared to RRAM devices without the HfO(x) layer. Additionally, the linearity of potentiation and depression responses validates their applicability in neural network pattern recognition, and spike-timing-dependent plasticity (STDP) behavior is observed. These findings collectively suggest that the ITO/ZnO/HfO(x)/W structure holds the potential to be a viable memory component for integration into neuromorphic systems.
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spelling pubmed-106480492023-10-28 The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device Noh, Minseo Ju, Dongyeol Cho, Seongjae Kim, Sungjun Nanomaterials (Basel) Article This study discusses the potential application of ITO/ZnO/HfO(x)/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>10(2)) and stable retention (>10(4) s). Notably, the formation and rupture of filaments at the interface of ZnO and HfO(x) contribute to a higher ON/OFF ratio and improve cycle uniformity compared to RRAM devices without the HfO(x) layer. Additionally, the linearity of potentiation and depression responses validates their applicability in neural network pattern recognition, and spike-timing-dependent plasticity (STDP) behavior is observed. These findings collectively suggest that the ITO/ZnO/HfO(x)/W structure holds the potential to be a viable memory component for integration into neuromorphic systems. MDPI 2023-10-28 /pmc/articles/PMC10648049/ /pubmed/37947701 http://dx.doi.org/10.3390/nano13212856 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Noh, Minseo
Ju, Dongyeol
Cho, Seongjae
Kim, Sungjun
The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title_full The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title_fullStr The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title_full_unstemmed The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title_short The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device
title_sort enhanced performance of neuromorphic computing hardware in an ito/zno/hfo(x)/w bilayer-structured memory device
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648049/
https://www.ncbi.nlm.nih.gov/pubmed/37947701
http://dx.doi.org/10.3390/nano13212856
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