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Making memory serve correctly: Fixing an inherent problem in next-generation magnetic RAM

Scientists propose method to eliminate a disturbance source in spin-orbit torque RAM, a type of memory that could enable ultra-low-power electronics

Date:
March 17, 2022
Source:
Tokyo University of Science
Summary:
SOT-RAM, a promising type of next-generation magnetic memory, could pave the way to ultra-low-power electronics. However, scientists have identified a source of disturbance during the read operation in SOT-RAMs that compromises their reliability. Fortunately, they also found a method to greatly reduce this disturbance by slightly modifying the SOT-RAM structure. Their findings will help make this type of memory faster and more reliable, helping its commercialization for sustainable IoT applications.
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FULL STORY

With the advent of the Internet of Things (IoT) era, many researchers are focused on making most of the technologies involved more sustainable. To reach this target of 'green IoT,' some of the building blocks of conventional electronics will have to be improved or radically changed to make them not only faster, but also more energy efficient. In line with this reasoning, many scientists worldwide are currently trying to develop and commercialize a new type of random-access memory (RAM) that will enable ultra-low-power electronics: magnetic RAMs.

Each memory cell in a magnetic RAM stores either a '1' or a '0' depending on whether the magnetic orientation of two magnetic layers are equal or opposite to each other. Various types of magnetic RAM exist, and they mainly differ in how they modify the magnetic orientation of the magnetic layers when writing to a memory cell. In particular, spin injection torque RAM, or STT-RAM, is one type of magnetic memory that is already being commercialized. However, to achieve even lower write currents and higher reliability, a new type of magnetic memory called spin orbit torque RAM (SOT-RAM), is being actively researched.

In SOT-RAM, by leveraging spin-orbit interactions, the write current can be immensely reduced, which lowers power consumption. Moreover, since the memory readout and write current paths are different, researchers initially thought that the potential disturbances on the stored values would also be small when either reading or writing. Unfortunately, this turned out not to be the case.

In 2017, in a study led by Professor Takayuki Kawahara of Tokyo University of Science, Japan, researchers reported that SOT-RAMs face an additional source of disturbance when reading a stored value. In conventional SOT-RAMs, the readout current actually shares part of the path of the write current. When reading a value, the readout operation generates unbalanced spin currents due to the Spin Hall effect. This can unintentionally flip the stored bit if the effect is large enough, making reading in SOT-RAMs less reliable.

To address this problem, Prof. Kawahara and colleagues conducted another study, which was recently published in IEEE Transactions on Magnetics. The team came up with a new reading method for SOT-RAMs that can nullify this new source of readout disturbance. In short, their idea is to alter the original SOT-RAM structure to create a bi-directional read path. When reading a value, the read current flows out of the magnetic layers in two opposite directions simultaneously. In turn, the disturbances produced by the spin currents generated on each side end up cancelling each other out. An explainer video on the same topic can be watched here: https://youtu.be/Gbz4rDOs4yQ.

In addition to cementing the theory behind this new source of readout disturbance, the researchers conducted a series of simulations to verify the effectiveness of their proposed method. They tested three different types of ferromagnetic materials for the magnetic layers and various device shapes. The results were very favorable, as Prof. Kawahara remarks: "We confirmed that the proposed method reduces the readout disturbance by at least 10 times for all material parameters and device geometries compared with the conventional read path in SOT-RAM."

To top things off, the research team checked the performance of their method in the type of realistic array structure that would be used in an actual SOT-RAM. This test is important because the read paths in an array structure would not be perfectly balanced depending on each memory cell's position. The results show that a sufficient readout disturbance reduction is possible even when connecting about 1,000 memory cells together. The team is now working towards improving their method to reach a higher number of integrated cells.

This study could pave the way toward a new era in low-power electronics, from personal computers and portable devices to large-scale servers. Satisfied with what they have achieved, Prof. Kawahara remarks: "We expect next-generation SOT-RAMs to employ write currents an order of magnitude lower than current STT-RAMs, resulting in significant power savings. The results of our work will help solve one of the inherent problems of SOT-RAMs, which will be essential for their commercialization." 


Story Source:

Materials provided by Tokyo University of Science. Note: Content may be edited for style and length.


Journal Reference:

  1. Yuwa Kishi, Akihiro Yamada, Mengnan Ke, Takayuki Kawahara. Examination of Magnetization Switching Behavior by Bi-directional Read of Spin-orbit-torque MRAM. IEEE Transactions on Magnetics, 2022; 1 DOI: 10.1109/TMAG.2022.3154025

Cite This Page:

Tokyo University of Science. "Making memory serve correctly: Fixing an inherent problem in next-generation magnetic RAM." ScienceDaily. ScienceDaily, 17 March 2022. <www.sciencedaily.com/releases/2022/03/220317143746.htm>.
Tokyo University of Science. (2022, March 17). Making memory serve correctly: Fixing an inherent problem in next-generation magnetic RAM. ScienceDaily. Retrieved April 26, 2024 from www.sciencedaily.com/releases/2022/03/220317143746.htm
Tokyo University of Science. "Making memory serve correctly: Fixing an inherent problem in next-generation magnetic RAM." ScienceDaily. www.sciencedaily.com/releases/2022/03/220317143746.htm (accessed April 26, 2024).

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