Suppr超能文献

Pt/HfO/TaO/TiN人工突触器件中的自整流电阻开关和短期记忆特性

Self-Rectifying Resistive Switching and Short-Term Memory Characteristics in Pt/HfO/TaO/TiN Artificial Synaptic Device.

作者信息

Ryu Hojeong, Kim Sungjun

机构信息

Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea.

出版信息

Nanomaterials (Basel). 2020 Oct 29;10(11):2159. doi: 10.3390/nano10112159.

Abstract

Here, we propose a Pt/HfO/TaO/TiN artificial synaptic device that is an excellent candidate for artificial synapses. First, XPS analysis is conducted to provide the dielectric (HfO/TaO/TiN) information deposited by DC sputtering and atomic layer deposition (ALD). The self-rectifying resistive switching characteristics are achieved by the asymmetric device stack, which is an advantage of the current suppression in the crossbar array structure. The results show that the programmed data are lost over time and that the decay rate, which is verified from the retention test, can be adjusted by controlling the compliance current (CC). Based on these properties, we emulate bio-synaptic characteristics, such as short-term plasticity (STP), long-term plasticity (LTP), and paired-pulse facilitation (PPF), in the self-rectifying I-V characteristics of the Pt/HfO/TaO/TiN bilayer memristor device. The PPF characteristics are mimicked by replacing the bio-stimulation with the interval time of paired pulse inputs. The typical potentiation and depression are also implemented by optimizing the set and reset pulse. Finally, we demonstrate the natural depression by varying the interval time between pulse inputs.

摘要

在此,我们提出一种Pt/HfO/TaO/TiN人工突触器件,它是人工突触的理想候选者。首先,进行X射线光电子能谱(XPS)分析,以提供通过直流溅射和原子层沉积(ALD)沉积的电介质(HfO/TaO/TiN)信息。通过不对称的器件堆叠实现了自整流电阻开关特性,这是交叉阵列结构中抑制电流的一个优势。结果表明,编程数据会随时间丢失,并且通过控制顺从电流(CC)可以调整从保持测试中验证的衰减率。基于这些特性,我们在Pt/HfO/TaO/TiN双层忆阻器器件的自整流I-V特性中模拟生物突触特性,如短期可塑性(STP)、长期可塑性(LTP)和双脉冲易化(PPF)。通过用双脉冲输入的间隔时间代替生物刺激来模拟PPF特性。典型的增强和抑制也通过优化设置和重置脉冲来实现。最后,我们通过改变脉冲输入之间的间隔时间来演示自然抑制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fcce/7693614/338ecc10fb63/nanomaterials-10-02159-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验