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Comprehensive numerical modeling of filamentary RRAM devices including voltage ramp-rate and cycle-to-cycle variations

机译:丝状RRAM器件的全面数值建模,包括电压斜率和周期变化

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摘要

The equilibrium ON and OFF states of resistive random access memory (RRAM) are due to formation and destruction of a conducting filament. The laws of thermodynamics dictate that these states correspond to the minimum of free energy. Here, we develop a numerical model that, through the minimization of free energy at a given voltage, determines the filament parameters and thus the electric current. Overall, it simulates the current-voltage (I-V) characteristics of RRAM. The model describes mutual transformations of RRAM states through SET (ON -> OFF) and RESET (OFF -> ON) processes. From the modeling perspectives, these states and processes constitute four programing modules constructed here in COMSOL multiphysics software tackling the electrodynamic and heat transfer equations and yielding RRAM energy and I-V. Our modeling uniquely reproduces the observed I-V varying with voltage ramp-rates. This is achieved by accounting for the ramp-rate dependent activation energy of conduction. The underlying mechanism is due to the deformation interaction caused by the double well atomic potentials universally present in amorphous materials and having exponentially broad distribution of relaxation times. As another unique feature, our modeling reproduces the observed cycle-to-cycle variations of RRAM parameters attributed to the lack of self-averaging in small ensembles of double well potentials and electronic states in geometrically small (nano-sized) RRAM structures. Published by AIP Publishing.
机译:电阻性随机存取存储器(RRAM)的平衡ON和OFF状态归因于导电丝的形成和破坏。热力学定律规定这些状态对应于自由能的最小值。在这里,我们建立了一个数值模型,该模型通过最小化给定电压下的自由能来确定灯丝参数,从而确定电流。总体而言,它模拟了RRAM的电流-电压(I-V)特性。该模型描述了通过SET(ON-> OFF)和RESET(OFF-> ON)过程进行RRAM状态的相互转换。从建模角度来看,这些状态和过程构成了四个编程模块,这些模块是在COMSOL Multiphysics软件中构造的,用于处理电动力学和热传递方程式,并产生RRAM能量和I-V。我们的建模独特地再现了观察到的I-V随电压斜率变化的情况。这是通过考虑与斜率相关的传导活化能来实现的。潜在的机理是由于非晶态材料中普遍存在的双阱原子势所引起的形变相互作用,并且其弛豫时间呈指数分布。作为另一个独特功能,我们的建模再现了观察到的RRAM参数的逐周期变化,这归因于在几何尺寸较小(纳米尺寸)的RRAM结构中,双阱电势和电子态的小集合中缺乏自平均。由AIP Publishing发布。

著录项

  • 来源
    《Journal of Applied Physics》 |2018年第17期|174502.1-174502.12|共12页
  • 作者

    Niraula Dipesh; Karpov Victor;

  • 作者单位

    Univ Toledo Dept Phys & Astron Toledo OH 43606 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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