Title :
An RRAM Biasing Parameter Optimizer
Author :
Serb, Alexander ; Khiat, Ali ; Prodromakis, Themistoklis
Author_Institution :
Nano Group, Univ. of Southampton, Southampton, UK
Abstract :
Research on memory devices is a highly active field, and many new technologies are being constantly developed. However, characterizing them and understanding how to bias for optimal performance are becoming an increasingly tight bottleneck. Here, we propose a novel technique for extracting biasing parameters, conducive to desirable switching behavior in a highly automated manner, thereby shortening the process development cycles. The principle of operation is based on: 1) applying variable amplitude, pulse-mode stimulation on a test device in order to induce switching multiple times; 2) collecting the data on how pulsing parameters affect the device´s resistive state; and 3) choosing the most suitable biasing parameters for the application at hand. The utility of the proposed technique is validated on TiOx-based prototypes, where we demonstrate the successful extraction of biasing parameters that allow the operation of our devices both as multistate and binary resistive switches.
Keywords :
resistive RAM; titanium compounds; RRAM biasing parameter optimizer; TiOx; binary resistive switches; device resistive state; memory devices; multistate resistive switches; process development cycles; pulse mode stimulation; switching behavior; switching multiple times; variable amplitude; Performance evaluation; Programming; Prototypes; Random access memory; Switches; Testing; Voltage measurement; Characterization; memristor; resistive random access memory (RRAM); testing; testing.;
Journal_Title :
Electron Devices, IEEE Transactions on
DOI :
10.1109/TED.2015.2478491