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2014 MRS Spring Meeting


HH5.03 - Unified Modeling of Electrically Induced Crystallization in the Filamentary Regime of Phase Change Memory Devices


Apr 23, 2014 3:45pm ‐ Apr 23, 2014 4:00pm

Description

Phase change memory (PCM) is considered as one of the most promising candidate for future non-volatile memory (NVM) technology [1]. Among the emerging NVMs, PCM is also the first which has reached the industrial maturity [2]. PCM devices are based on the reversible crystalline-amorphous transition in a chalcogenide material such as Ge2Sb2Te5 (GST). While the crystalline (set) state is stable, the amorphous (reset) state is metastable, showing spontaneous thermally-activated crystallization. Crystallization can be obtained either by increasing the ambient temperature or by electrical pulses, where the T increase due to Joule heating leads to phase transition in the 10 ns timescale. For this reason, crystallization plays an important role not only in data retention [3] and programming speed [4], but also in reset transition [5], read disturb [6] and program disturb [7].

In this work, we propose a unified finite element model able to predict electrically induced crystallization in PCM devices. The simulated structure is a mushroom cell with confined bottom electrode contact (heater). Literature values for electrical and thermal conductivities were used. To correctly describe Joule-heating in PCM from ambient temperature to melting point (around 900 K), also the T-dependence of GST electrical and thermal conductivities were taken into account [8]. The model relies on continuity and Fourier equations for electrical and thermal transport, while a first order differential equation describes the thermal activated evolution of the crystalline fraction. The fragile nature of GST glass was modeled by considering the non-Arrhenius-activated kinetic constant driving crystallization equation [9]. To model the reset state during set transition, we have described threshold switching by the formation of a highly conducting filament within the amorphous cap [9]. The model is able to predict the measured resistance R evolution in set experiments even at extremely low currents near the hold current Ih (around 40 μA), which is the minimum current necessary for the self-sustaining threshold switching mechanism. In addition, the model also describes crystallization in the subthreshold regime (I < 5 μA), where T is below 500 K and R decay in the 1000 s time-scale. This unified approach is important to predict read disturb effect in PCM devices, which must be thoroughly understood to avoid data loss under repeated read operations [6].

[1] H.-S. P. Wong, et al., Proc. IEEE 98 2201 (2010)

[2] G. Servalli, et al., IEDM Tech. Dig., 113-116 (2009)

[3] D. Mantegazza, et al., IEDM Tech. Dig. 311 (2007)

[4] D. Loke, et al., Science 336, 1566 (2012)

[5] D. H. Kang, et al., Symp. VLSI Tech. Dig., 96 (2007)

[6] A. Pirovano, et al., IEEE TDMR, 4 (2004)

[7] M. Boniardi, et al., IEDM Tech. Dig. (2013)

[8] A. Faraclas, et al., IEEE VLSI, 78-83 (2012)

[9] N. Ciocchini, et al., Trans. Electron Dev. 60, 3767-3774 (2013)

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