Abstract

Resistive Random Access Memories (RRAMs) are based on resistive switching (RS) operation and exhibit a set of technological features that make them ideal candidates for applications related to non-volatile memories, neuromorphic computing and hardware cryptography. For the full industrial development of these devices different simulation tools and compact models are needed in order to allow computer-aided design, both at the device and circuit levels. Most of the different RRAM models presented so far in the literature deal with temperature effects since the physical mechanisms behind RS are thermally activated; therefore, an exhaustive description of these effects is essential. As far as we know, no revision papers on thermal models have been published yet; and that is why we deal with this issue here. Using the heat equation as the starting point, we describe the details of its numerical solution for a conventional RRAM structure and, later on, present models of different complexity to integrate thermal effects in complete compact models that account for the kinetics of the chemical reactions behind resistive switching and the current calculation. In particular, we have accounted for different conductive filament geometries, operation regimes, filament lateral heat losses, the use of several temperatures to characterize each conductive filament, among other issues. A 3D numerical solution of the heat equation within a complete RRAM simulator was also taken into account. A general memristor model is also formulated accounting for temperature as one of the state variables to describe electron device operation. In addition, to widen the view from different perspectives, we deal with a thermal model contextualized within the quantum point contact formalism. In this manner, the temperature can be accounted for the description of quantum effects in the RRAM charge transport mechanisms. Finally, the thermometry of conducting filaments and the corresponding models considering different dielectric materials are tackled in depth.

Highlights

  • Resistive memories base their operation on resistive switching mechanisms to modulate their conductance in a non-volatile manner [1,2,3]

  • Analytical models have been developed using equations describing the relevant physics behind the heat equation accounting for steady-state and non-steady-state device operation

  • A general memristor modeling framework was formulated considering the temperature as a state variable

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Summary

Introduction

Resistive memories ( known as resistive random access memories or RRAMs) base their operation on resistive switching mechanisms to modulate their conductance in a non-volatile manner [1,2,3]. Nonlinear physical mechanisms (mostly thermally activated, following an Arrhenius’ equation relationship) come into play in a positive feedback loop that leads certain magnitudes, such as the temperature, to shoot up This process has an obvious reflection at the experimental level, the current has to be limited to avoid the device hard breakdown and its consequent destruction. For a correct RRAM simulation description (both at the device and circuit levels, in the latter case it would be a compact modeling approach), we have to face numerical divergence in addition to nonlinearity in some of the physical magnitudes at hand in one way or other This means, in general, as the reader can imagine, a numerical nightmare.

Heat Equation
A Numerical Approach for the Heat Equation
Temperature
Explicit Heat Equation Solutions
RRAM with a Cylindrical Filament rCF
Energy Balance in the Device
Steady-State
Non-Steady-State Approach
13. Simulations
Non-Steady-State Approach with Two Different Temperatures Associated to the
SPICE-Based Circuital Models with Two or More CF Temperatures
17. Schema
General Memristor Modeling Framework with Thermal Effects Emphasis
27. Schematic
Thermometry of Conducting Filaments
30. Current
Conclusions
Methods
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