Title :
Cell-based models for the switching statistics of RRAM
Author :
Long, Shibing ; Cagli, Carlo ; Ielmini, Daniele ; Liu, Ming ; Suñé, Jordi
Author_Institution :
Dept. d´´Eng. Electron., Univ. Autonoma de Barcelona, Barcelona, Spain
Abstract :
Departing from the percolation model of dielectric breakdown, we establish a framework of analysis and modeling of the resistive switching statistics in RRAM. A deterministic model for the RESET dynamics based on the thermal dissolution of the conductive filament (CF) is incorporated into simple geometrical cell-based models to construct a complete physics-based analytical model for the RESET statistics. This model nicely accounts for the experimental VRESET and IRESET distributions in relation to the size of the CF in Pt/NiO/W devices.
Keywords :
electric breakdown; nickel compounds; platinum; random-access storage; tungsten; IRESET distributions; Pt-NiO-W; RESET dynamics; RRAM; VRESET distributions; cell-based models; conductive filament; dielectric breakdown; percolation model; resistive random access memory; resistive switching statistics; thermal dissolution; Analytical models; Approximation methods; Electric breakdown; Physics; Reliability; Resistance; Switches; conductive filament cell-based analytical model; resistive random access memory (RRAM); resistive switching statistics;
Conference_Titel :
Non-Volatile Memory Technology Symposium (NVMTS), 2011 11th Annual
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1428-3
DOI :
10.1109/NVMTS.2011.6137096