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Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System

Controlled conductive filament formation in the resistive random access memory device is an essential requirement for analog resistive switching to develop artificial synapses. In this work, we have studied Au/Ti/HfAlO(x)/TiN-NP/HfAlO(x)/ITO RRAM device to demonstrate conductance quantization behavi...

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Autores principales: Mahata, Chandreswar, Ismail, Muhammad, Kang, Myounggon, Kim, Sungjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187820/
https://www.ncbi.nlm.nih.gov/pubmed/35687194
http://dx.doi.org/10.1186/s11671-022-03696-2
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author Mahata, Chandreswar
Ismail, Muhammad
Kang, Myounggon
Kim, Sungjun
author_facet Mahata, Chandreswar
Ismail, Muhammad
Kang, Myounggon
Kim, Sungjun
author_sort Mahata, Chandreswar
collection PubMed
description Controlled conductive filament formation in the resistive random access memory device is an essential requirement for analog resistive switching to develop artificial synapses. In this work, we have studied Au/Ti/HfAlO(x)/TiN-NP/HfAlO(x)/ITO RRAM device to demonstrate conductance quantization behavior to achieve the high-density memory application. Stepwise change in conductance under DC and pulse voltage confirms the quantized conductance states with integer and half-integer multiples of G(0). Reactive TiN-NPs inside the switching layer helps to form and rupture the atomic scale conductive filaments due to enhancing the local electric field inside. Bipolar resistive switching characteristics at low SET/RESET voltage were obtained with memory window > 10 and stable endurance of 10(3) cycles. Short-term and long-term plasticities are successfully demonstrated by modulating the pre-spike number, magnitude, and frequency. The quantized conductance behavior with promising synaptic properties obtained in the experiments suggests HfAlO(x)/TiN-NP/HfAlO(x) switching layer is suitable for multilevel high-density storage RRAM devices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11671-022-03696-2.
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spelling pubmed-91878202022-06-12 Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System Mahata, Chandreswar Ismail, Muhammad Kang, Myounggon Kim, Sungjun Nanoscale Res Lett Research Controlled conductive filament formation in the resistive random access memory device is an essential requirement for analog resistive switching to develop artificial synapses. In this work, we have studied Au/Ti/HfAlO(x)/TiN-NP/HfAlO(x)/ITO RRAM device to demonstrate conductance quantization behavior to achieve the high-density memory application. Stepwise change in conductance under DC and pulse voltage confirms the quantized conductance states with integer and half-integer multiples of G(0). Reactive TiN-NPs inside the switching layer helps to form and rupture the atomic scale conductive filaments due to enhancing the local electric field inside. Bipolar resistive switching characteristics at low SET/RESET voltage were obtained with memory window > 10 and stable endurance of 10(3) cycles. Short-term and long-term plasticities are successfully demonstrated by modulating the pre-spike number, magnitude, and frequency. The quantized conductance behavior with promising synaptic properties obtained in the experiments suggests HfAlO(x)/TiN-NP/HfAlO(x) switching layer is suitable for multilevel high-density storage RRAM devices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11671-022-03696-2. Springer US 2022-06-10 /pmc/articles/PMC9187820/ /pubmed/35687194 http://dx.doi.org/10.1186/s11671-022-03696-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Mahata, Chandreswar
Ismail, Muhammad
Kang, Myounggon
Kim, Sungjun
Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title_full Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title_fullStr Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title_full_unstemmed Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title_short Synaptic Plasticity and Quantized Conductance States in TiN-Nanoparticles-Based Memristor for Neuromorphic System
title_sort synaptic plasticity and quantized conductance states in tin-nanoparticles-based memristor for neuromorphic system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187820/
https://www.ncbi.nlm.nih.gov/pubmed/35687194
http://dx.doi.org/10.1186/s11671-022-03696-2
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