Dynamics of Analog Switching Behavior in Thin Polycrystalline Barium Titanate

被引:1
|
作者
Andreeva, Natalia V. [1 ]
Ryndin, Eugeny A. [1 ]
Petukhov, Anatoliy E. [2 ]
Vilkov, Oleg Y. [3 ]
Al-Saman, Amgad A. [4 ]
机构
[1] St Petersburg Electrotech Univ LETI, Dept Micro & Nanoelect, St Petersburg 197022, Russia
[2] St Petersburg State Univ, Res Pk, St Petersburg 198504, Russia
[3] St Petersburg State Univ, Dept Solid State Elect, St Petersburg 198504, Russia
[4] Univ Sci & Technol China, Sch Microelect, Hefei 230026, Anhui, Peoples R China
基金
俄罗斯科学基金会;
关键词
ferroelectric memristors; numerical simulation of non-stationary processes in thin film; resistive switching; scanning tunneling spectroscopy; X-ray photoelectron spectroscopy;
D O I
10.1002/aelm.202300806
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Engineering of interfaces and point defects in ferroelectric memristors is an efficient way for manipulating the resistive switching effects of mixed ionic-electronic nature. However, an interplay between the defects, interfacial properties, and ferroelectric polarization as well as their influence on the resistance state tuning are yet to be revealed. By considering the memristive device built on a thin polycrystalline BaTiO3 film, a drift-diffusion model of non-stationary processes is developed. The model is based on Poisson and continuity equations solved numerically and accounts for various transport mechanisms for electrons, holes, and oxygen vacancies. Comparing simulated resistive effects with experimental data taken in a wide temperature range, it is shown that an appearance of the analog resistive switching cannot be explained solely by oxygen-ionic transport. Investigated switching dynamics claims the oxygen vacancies redistribution to be responsible for the analog character of the switching at the prevalence of the electron hopping transport. Crucially, the required dynamics of the vacancies redistribution is achieved only in a narrow range of their mobility. These results can be used in designing the ferroelectric memristors for nonvolatile multilevel memory devices satisfying the requirements that arise at the stages of their integration into neuromorphic architectures. Engineering of interfaces and point defects in ferroelectric memristors provides a powerful tool to design non-volatile memory devices for neuromorphic computing. The developed novel drift-diffusion model built on a memristive device of mixed electron-ionic nature can be used to predict the resistive switching effects based on the combined contribution of electronic and oxygen-ionic processes in ferroelectric memristors. image
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页数:12
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