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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9656838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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