Macro model for stochastic behavior of resistance distribution of magnetic tunnel junction

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초록

In this work, we fabricated MgO-based magnetic tunnel junction (MTJ) samples to observe behavior of resistance variation, and investigated a stochastic behavior model for MTJ resistance from measured real data. We found the relationship between parallel resistance (R-P), anti-parallel resistance (R-AP), and TMR from the measurements. The variation of barrier thickness affects not only resistance but also TMR. This means that broad R-AP distribution is caused by R-P distribution. In addition, R-AP distribution can be reduced by increasing temperature and bias voltage. We developed a macro model that can evaluate resistance distribution based on the stochastic behavior of MTJ resistance variation from only t(ox) varied. The amount of resistance variation, which is considered with regard to the circuit performance, can be obtained from Delta(tox) designed by designer. In addition, the impact for operating circumstance such as bias and temperature can be considered by using fit equations.

키워드

TEMPERATURE-DEPENDENCERAM
제목
Macro model for stochastic behavior of resistance distribution of magnetic tunnel junction
저자
Kil, GyuhyunChoi, JuntaeSong, Yunheub
DOI
10.7567/JJAP.54.04DD12
발행일
2015-04
유형
Article; Proceedings Paper
저널명
Japanese Journal of Applied Physics
54
4
페이지
1 ~ 7