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Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention

The multilevel properties of a memristor are significant for applications in non-volatile multi-state storage and electronic synapses. However, the reproducibility and stability of the intermediate resistance states are still challenging. A stacked HfO(x)/ZnO bilayer embedded with copper nanoparticl...

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Detalles Bibliográficos
Autores principales: Chen, Shuai, Chen, Hao, Lai, Yunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656838/
https://www.ncbi.nlm.nih.gov/pubmed/36364543
http://dx.doi.org/10.3390/nano12213769
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author Chen, Shuai
Chen, Hao
Lai, Yunfeng
author_facet Chen, Shuai
Chen, Hao
Lai, Yunfeng
author_sort Chen, Shuai
collection PubMed
description The multilevel properties of a memristor are significant for applications in non-volatile multi-state storage and electronic synapses. However, the reproducibility and stability of the intermediate resistance states are still challenging. A stacked HfO(x)/ZnO bilayer embedded with copper nanoparticles was thus proposed to investigate its multilevel properties and to emulate synaptic plasticity. The proposed memristor operated at the microampere level, which was ascribed to the barrier at the HfO(x)/ZnO interface suppressing the operational current. Compared with the stacked HfO(x)/ZnO bilayer without nanoparticles, the proposed memristor had a larger ON/OFF resistance ratio (~330), smaller operational voltages (absolute value < 3.5 V) and improved cycle-to-cycle reproducibility. The proposed memristor also exhibited four reproducible non-volatile resistance states, which were stable and well retained for at least ~1 year at 85 °C (or ~10 years at 70 °C), while for the HfO(x)/ZnO bilayer without copper nanoparticles, the minimum retention time of its multiple resistance states was ~9 days at 85 °C (or ~67 days at 70 °C). Additionally, the proposed memristor was capable of implementing short-term and long-term synaptic plasticities.
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spelling pubmed-96568382022-11-15 Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention Chen, Shuai Chen, Hao Lai, Yunfeng Nanomaterials (Basel) Article The multilevel properties of a memristor are significant for applications in non-volatile multi-state storage and electronic synapses. However, the reproducibility and stability of the intermediate resistance states are still challenging. A stacked HfO(x)/ZnO bilayer embedded with copper nanoparticles was thus proposed to investigate its multilevel properties and to emulate synaptic plasticity. The proposed memristor operated at the microampere level, which was ascribed to the barrier at the HfO(x)/ZnO interface suppressing the operational current. Compared with the stacked HfO(x)/ZnO bilayer without nanoparticles, the proposed memristor had a larger ON/OFF resistance ratio (~330), smaller operational voltages (absolute value < 3.5 V) and improved cycle-to-cycle reproducibility. The proposed memristor also exhibited four reproducible non-volatile resistance states, which were stable and well retained for at least ~1 year at 85 °C (or ~10 years at 70 °C), while for the HfO(x)/ZnO bilayer without copper nanoparticles, the minimum retention time of its multiple resistance states was ~9 days at 85 °C (or ~67 days at 70 °C). Additionally, the proposed memristor was capable of implementing short-term and long-term synaptic plasticities. MDPI 2022-10-26 /pmc/articles/PMC9656838/ /pubmed/36364543 http://dx.doi.org/10.3390/nano12213769 Text en © 2022 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
Chen, Shuai
Chen, Hao
Lai, Yunfeng
Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title_full Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title_fullStr Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title_full_unstemmed Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title_short Reproducible Non-Volatile Multi-State Storage and Emulation of Synaptic Plasticity Based on a Copper-Nanoparticle-Embedded HfO(x)/ZnO Bilayer with Ultralow-Switching Current and Ideal Data Retention
title_sort reproducible non-volatile multi-state storage and emulation of synaptic plasticity based on a copper-nanoparticle-embedded hfo(x)/zno bilayer with ultralow-switching current and ideal data retention
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656838/
https://www.ncbi.nlm.nih.gov/pubmed/36364543
http://dx.doi.org/10.3390/nano12213769
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