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Title: Modeling Reset, Set, and Read Operations in Nanoscale Ge 2 Sb 2 Te 5 Phase‐Change Memory Devices Using Electric Field‐ and Temperature‐Dependent Material Properties
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Award ID(s):
1711626
NSF-PAR ID:
10396583
Author(s) / Creator(s):
 ;  ;  ;  ;  
Publisher / Repository:
Wiley Blackwell (John Wiley & Sons)
Date Published:
Journal Name:
physica status solidi (RRL) – Rapid Research Letters
Volume:
17
Issue:
8
ISSN:
1862-6254
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. We stabilize resistance of melt-quenched amorphous Ge2Sb2Te5 (a-GST) phase change memory (PCM) line cells by substantially accelerating resistance drift and bringing it to a stop within a few minutes with application of high electric field stresses. The acceleration of drift is clearly observable at electric fields > 26 MV/m at all temperatures (85 K - 300 K) and is independent of the current forced through the device, which is a strong function of temperature. The low-field (< 21 MV/m) I-V characteristics of the stabilized cells measured in 85 K - 300 K range fit well to a 2D thermally-activated hopping transport model, yielding hopping distances in the direction of the field and activation energies ranging from 2 nm and 0.2 eV at 85 K to 6 nm and 0.4 eV at 300 K. Hopping transport appears to be better aligned with the field direction at higher temperatures. The high-field current response to voltage is significantly stronger and displays a distinctly different characteristic: the differential resistances at different temperatures extrapolate to a single point (8.9x10-8 this http URL), comparable to the resistivity of copper at 60 K, at 65.6 +/- 0.4 MV/m. The physical mechanisms that give rise to the substantial increase in current in the high-field regime also accelerate resistance drift. We constructed field and temperature dependent conduction models based on the experimental results and integrated it with our electro-thermal finite element device simulation framework to analyze reset, set and read operations of PCM devices. 
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  2. Phase change memory devices become practical for non-volatile storage at small dimensions due to reduced power and predictable device operation. In larger scale cells, devices can be locally melted due to filament formation and liquid filaments can be retained in parts of the cell for a long time even if most or all of the cells are initially amorphized during long fall-times. The complex amorphization and crystallization dynamics make these large cells more unpredictable and enable their applications as physically unclonable functions (PUF) [1,2]. Computational analysis of the complex amorphization-crystallization dynamics in phase change memory devices with large geometries is important to understand the evolution of phase distributions and temperature profiles during programming of these devices. In this work, we conduct electrothermal finite element simulations of reset operation on a large Ge2Sb2Te5 (GST) cell using the framework we have developed in COMSOL multiphysics [3]-[9] and analyze the complex dynamics of amorphization, nucleation and growth during electrical stress. We input voltage waveforms measured from electrical characterization of on-oxide GST line cells with bottom metal contact pads and Si3N4 capping. A 2D polycrystalline model of the experimentally measured cells (~360 nm wide, ~400 nm long and ~50 nm thick) is constructed in the simulations. Access devices are modeled using the spice models. The simulations capture some of the interplay between changes in the device resistance due to heating and phase changes and current fluctuations. 
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    Multiple-banded precipitation structures are difficult to predict and can greatly impact snowfall forecasts. This study investigates the precipitation bands in the comma head of a low pressure system in a numerical model to systematically isolate the roles of different ambient conditions. The results emphasize that environments with instability (e.g., air free to rise after small upward displacement) and increasing winds with height favor the development of banded structures. The forecast challenge for these bands is illustrated by starting the model with relatively small changes in the temperature field. Decreasing the instability by 10% suppresses band development, while increasing (decreasing) the horizontal temperature change across the system by 10% corresponds to the bands developing 12 h earlier (later).

     
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