Title :
An Optimized Resistance Characterization Technique for the Next Generation Magnetic Random Access Memory
Author :
Fei Li ; Lua, Sunny Yan Hwee ; Mani, Aarthy
Author_Institution :
Data Storage Inst., A*STAR (Agency for Sci., Technol. & Res.), Singapore, Singapore
Abstract :
This paper presents an accurate resistance characterization technique for magnetic random access memory (MRAM), such as STT-MRAM. By annulling the mismatch effect of CMOS transistors, this technique produces a resistance distribution profile of MRAM devices in a large array that reflects the actual device statistics. A 1 Kb array of MTJs with an intrinsic 3σ low resistance state distribution modeled with Verilog-A provides the reference device statistics. Monte Carlo simulation results of popular array configurations show the method´s generic advantages of tightened distributions of the mean resistance value and standard deviation (SD) of the characterized 1 Kb devices than the reference method. Technology scaling study shows the sustainability of the proposed method with an improvement of the SD of the mean resistance distribution by at least 37.6%. The mean and SD of the standard deviation distribution were improved by at least 25.1% and 67.2% as compared to the reference method, respectively.
Keywords :
MRAM devices; Monte Carlo methods; tunnelling magnetoresistance; CMOS transistors; MRAM devices; MTJ; Monte Carlo simulation; STT-MRAM; Verilog-A; array configurations; intrinsic low resistance state distribution model; next generation magnetic random access memory; optimized resistance characterization technique; standard deviation distribution; technology scaling; Arrays; Magnetic tunneling; Monte Carlo methods; Resistance; Semiconductor device modeling; Standards; Transistors; Distribution; Monte Carlo; Resistance characterization; STT-MRAM; Scaling; distribution; scaling;
Journal_Title :
Nanotechnology, IEEE Transactions on
DOI :
10.1109/TNANO.2015.2415524