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氧化镧镍(LaNiO)薄膜的复位优先和多位级电阻开关行为。

Reset-First and Multibit-Level Resistive-Switching Behavior of Lanthanum Nickel Oxide (LaNiO) Thin Films.

作者信息

Kim Daewoo, Lee Jeongwoo, Kim Jaeyeon, Sohn Hyunchul

机构信息

Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea.

出版信息

Materials (Basel). 2023 Jul 14;16(14):4992. doi: 10.3390/ma16144992.

DOI:10.3390/ma16144992
PMID:37512267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10384036/
Abstract

The resistive random-access memory (RRAM) with multi-level storage capability has been considered one of the most promising emerging devices to mimic synaptic behavior and accelerate analog computations. In this study, we investigated the reset-first bipolar resistive switching (RS) and multi-level characteristics of a LaNiO thin film deposited using a reactive magnetron co-sputtering method. Polycrystalline phases of LaNiO (LNO), without LaO and NiO phases, were observed at similar fractions of Ni and La at a constant partial pressure of oxygen. The relative chemical proportions of Ni and Ni ions in LaNiO indicated that it was an oxygen-deficient LaNiO thin film, exhibiting RS behavior, compared to LNO without Ni ions. The TiN/LaNiO/Pt devices exhibited gradual resistance changes under various DC/AC voltage sweeps and consecutive pulse modes. The nonlinearity values of the conductance, measured via constant-pulse programming, were 0.15 for potentiation and 0.35 for depression, indicating the potential of the as-fabricated devices as analog computing devices. The LaNiO-based device could reach multi-level states without an electroforming step and is a promising candidate for state-of-the-art RS memory and synaptic devices for neuromorphic computing.

摘要

具有多级存储能力的电阻式随机存取存储器(RRAM)被认为是最有前途的新兴器件之一,可用于模拟突触行为并加速模拟计算。在本研究中,我们研究了采用反应磁控共溅射法沉积的LaNiO薄膜的先复位双极电阻开关(RS)和多级特性。在恒定氧分压下,当Ni和La的比例相似时,观察到了无LaO和NiO相的LaNiO(LNO)多晶相。与无Ni离子的LNO相比,LaNiO中Ni和Ni离子的相对化学比例表明它是一种缺氧的LaNiO薄膜,表现出RS行为。TiN/LaNiO/Pt器件在各种直流/交流电压扫描和连续脉冲模式下呈现出逐渐的电阻变化。通过恒脉冲编程测量的电导非线性值,增强时为0.15,抑制时为0.35,表明所制备的器件作为模拟计算器件的潜力。基于LaNiO的器件无需电形成步骤即可达到多级状态,是用于神经形态计算的最先进RS存储器和突触器件的有前途的候选者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/cec8b7633dcb/materials-16-04992-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/e1fddca008d5/materials-16-04992-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/5490ec1b957d/materials-16-04992-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/ee2a88b90bee/materials-16-04992-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/9129c4609ffb/materials-16-04992-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/cec8b7633dcb/materials-16-04992-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/e1fddca008d5/materials-16-04992-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/5490ec1b957d/materials-16-04992-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/ee2a88b90bee/materials-16-04992-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/9129c4609ffb/materials-16-04992-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53bf/10384036/cec8b7633dcb/materials-16-04992-g005.jpg

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