کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1798827 1524829 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A graphite based STT-RAM cell with reduction in switching current
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک ماده چگال
پیش نمایش صفحه اول مقاله
A graphite based STT-RAM cell with reduction in switching current
چکیده انگلیسی


• A new STT-RAM cell structure which uses perfect graphite based MTJ is proposed.
• The amplitude of the switching current or its pulsewidth can be reduced without any sacrifice of data retention time.
• The proposed design is down-scalable from 90 nm to 22 nm.
• Micromagnetic simulations are done with OOMMF.

Spin Transfer Torque Random Access Memory (STT-RAM) is a serious candidate for “universal memory” because of its non-volatility, fast access time, high density, good scalability, high endurance and relatively low power dissipation. However, problems with low write speed and large write current are important existing challenges in STT-RAM design and there is a tradeoff between them and data retention time. In this study, a novel STT-RAM cell structure which uses perfect graphite based Magnetic Tunnel Junction (MTJ) is proposed. First, the cross-section of the structure is selected to be an ellipse of 45 nm and 180 nm dimensions and a six-layer graphite is used as tunnel barrier. By passing a lateral current with a short pulse width (before applying STT current and independent of it) through four middle graphene layers of the tunnel barrier, a 27% reduction in the amplitude of the switching current (for fast switching time of 2 ns) or a 58% reduction in its pulse width is achieved without any reduction in data retention time. Finally, the effect of downscaling of technology on the proposed structure is evaluated. A reduction of 31.6% and 9% in switching current is achieved for 90 and 22 nm cell width respectively by passing sufficient current (100 µA with 0.1 ns pulse width) through the tunnel barrier. Simulations are done using Object Oriented Micro Magnetic Framework (OOMMF).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Magnetism and Magnetic Materials - Volume 392, 15 October 2015, Pages 50–55
نویسندگان
, ,