Compact Model for Describing the Plasticity of Memristors Based on Nanolayers of LiNbO3 and (Co–Fe–B)х(LiNbO3)100–х Composite According to the Biosimilar STDP Rule

IF 0.8 Q3 Engineering

Nanotechnologies in Russia Pub Date : 2024-03-23 DOI:10.1134/S2635167623601535

A. V. Emelyanov, K. E. Nikiruy, A. I. Iliasov, E. A. Tsyvkunova, I. A. Surazhevsky, V. A. Demin, Y. Lin, Y. Tao, V. V. Rylkov

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Abstract

А compact phenomenological model is proposed to describe the plasticity of memristive structures based on nanolayers of LiNbO₃ and (Co–Fe–B)_x(LiNbO₃)_100–x composite, taking into account the features of resistive switching of the structures and hopping electron transport in amorphous LiNbO₃. The model well describes the current–voltage characteristics of memristors in a crossbar array, and the effective microscopic parameters found in the fitting of the current—voltage characteristics make it possible to predict the result of changes in the conductivity according to spike-timing-dependent plasticity (STDP), and in addition, the dependence of the STDP window on the initial conductivity of the memristor. The results obtained can be used in the development of algorithms for training spiking neuromorphic computing systems and identifying memristive STDP, which is effective for their implementation.

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根据生物类似物 STDP 规则描述基于铌酸锂纳米层和（Co-Fe-B）х（铌酸锂）100-х 复合材料的可塑性晶闸管的紧凑模型

考虑到锰酸锂纳米层结构的电阻开关特性和非晶锰酸锂中的跳变电子传输特性，提出了一个紧凑的现象学模型来描述基于锰酸锂纳米层和(Co-Fe-B)x(锰酸锂)100-x复合材料的忆阻结构的可塑性。该模型很好地描述了横条阵列中的忆阻器的电流-电压特性，通过拟合电流-电压特性所发现的有效微观参数，可以预测电导率随尖峰计时可塑性（STDP）变化的结果，以及 STDP 窗口对忆阻器初始电导率的依赖性。所获得的结果可用于开发训练尖峰神经形态计算系统的算法，并确定对其实施有效的忆阻器 STDP。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nanotechnologies in Russia NANOSCIENCE & NANOTECHNOLOGY-

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Nanobiotechnology Reports publishes interdisciplinary research articles on fundamental aspects of the structure and properties of nanoscale objects and nanomaterials, polymeric and bioorganic molecules, and supramolecular and biohybrid complexes, as well as articles that discuss technologies for their preparation and processing, and practical implementation of products, devices, and nature-like systems based on them. The journal publishes original articles and reviews that meet the highest scientific quality standards in the following areas of science and technology studies: self-organizing structures and nanoassemblies; nanostructures, including nanotubes; functional and structural nanomaterials; polymeric, bioorganic, and hybrid nanomaterials; devices and products based on nanomaterials and nanotechnology; nanobiology and genetics, and omics technologies; nanobiomedicine and nanopharmaceutics; nanoelectronics and neuromorphic computing systems; neurocognitive systems and technologies; nanophotonics; natural science methods in a study of cultural heritage items; metrology, standardization, and monitoring in nanotechnology.