DocumentCode :
2669936
Title :
A new automated methodology for random telegraph signal identification and characterization: a case study on phase change memory arrays
Author :
Chimenton, A. ; Zambelli, C. ; Olivo, P.
Author_Institution :
Dipt. di Ing., Univ. degli studi di Ferrara, Ferrara, Italy
fYear :
2009
fDate :
26-30 April 2009
Firstpage :
128
Lastpage :
133
Abstract :
We present a new method for the statistical analysis of random telegraph signals. Simulations show the good features of the method which is a powerful tool for evaluating the impact of RTS on performance and reliability of electron devices. Its application to phase change memories will be discussed in order to successfully analyze a new RTS phenomenon observed in the SET state during cycling. The physical nature of the phenomenon has been related to the random presence of an extra parasitic crystal (PC) path in the active volume of the chalcogenide material. The large current densities flowing during the SET operations can induce the PC formation, whereas the high temperature and the short quench time of the RESET operation are able to revert the PC to the amorphous state. Finally, the analysis shows that PC are correlated with the anomalous tail of the RESET distribution.
Keywords :
phase change memories; random processes; reliability; signal processing; statistical analysis; telegraphy; RESET; chalcogenide material; current density; phase change memory arrays; quench time; random telegraph; reliability; signal identification; statistical analysis; Crystalline materials; Current density; Electron devices; Phase change materials; Phase change memory; Phased arrays; Signal processing; Statistical analysis; Telegraphy; Temperature; Electrical Characterization; Non-Volatile Memory; Phase Change Memory; Random Telegraph Signal; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability Physics Symposium, 2009 IEEE International
Conference_Location :
Montreal, QC
ISSN :
1541-7026
Print_ISBN :
978-1-4244-2888-5
Electronic_ISBN :
1541-7026
Type :
conf
DOI :
10.1109/IRPS.2009.5173237
Filename :
5173237
Link To Document :
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