Keyword Suggestions

Results
 
 
Account Login
 
 
 
 
 

Library Navigation

 
 

Browse Meetings

 
 
 
HH5.03 - Unified Modeling of Electrically Induced Crystallization in the Filamentary Regime of Phase Change Memory Devices 
Date/Time:
April 23, 2014   3:45pm - 4:00pm
 
Speaker:
 
Taxonomy
 
 
 
Share:
 

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)
 


 
 
Average Rating: (No Ratings)
  Was great, surpassed expectations, and I would recommend this
  Was good, met expectations, and I would recommend this
  Was okay, met most expectations
  Was okay but did not meet expectations
  Was bad and I would not recommend this
 



Submit
 
Keynote Address
Panel Discussion - Different Approaches to Commercializing Materials Research
Business Challenges to Starting a Materials-Based Company
Fred Kavli Distinguished Lectureship in Nanoscience
Application of In-situ X-ray Absorption, Emission and Powder Diffraction Studies in Nanomaterials Research - From the Design of an In-situ Experiment to Data Analysis