电阻随机存取存储器
材料科学
神经形态工程学
电场
光电子学
氧化物
电阻式触摸屏
化学物理
库仑
氧气
非易失性存储器
纳米技术
凝聚态物理
电极
计算机科学
电子
物理
机器学习
冶金
量子力学
人工神经网络
计算机视觉
作者
Jihang Lee,William Schell,Xiaojian Zhu,Emmanouil Kioupakis,Wei Lü
标识
DOI:10.1021/acsami.8b18386
摘要
Resistive random-access memory (RRAM) devices have attracted broad interest as promising building blocks for high-density nonvolatile memory and neuromorphic computing applications. Atomic level thermodynamic and kinetic descriptions of resistive switching (RS) processes are essential for continued device design and optimization but are relatively lacking for oxide-based RRAMs. It is generally accepted that RS occurs due to the redistribution of charged oxygen vacancies driven by an external electric field. However, this assumption contradicts the experimentally observed stable filaments, where the high vacancy concentration should lead to a strong Coulomb repulsion and filament instability. In this work, through predictive atomistic calculations in combination with experimental measurements, we attempt to understand the interactions between oxygen vacancies and the microscopic processes that are required for stable RS in a Ta2O5-based RRAM. We propose a model based on a series of charge transition processes that explains the drift and aggregation of vacancies during RS. The model was validated by experimental measurements where illuminated devices exhibit accelerated RS behaviors during SET and RESET. The activation energies of ion migration and charge transition were further experimentally determined through a transient current measurement, consistent with the modeling results. Our results help provide comprehensive understanding on the internal dynamics of RS and will benefit device optimization and applications.
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