2022 Fiscal Year Annual Research Report
Sensoron: Fusing Memory and Computing into Spintronics-based Sensors
| Project/Area Number |
22H01538
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| Allocation Type | Single-year Grants |
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| Research Institution | Tohoku University |
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Principal Investigator |
アルマダウィ ミフタ 東北大学, 先端スピントロニクス研究開発センター, 助教 (90729576)
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| Co-Investigator(Kenkyū-buntansha) |
野崎 友大 国立研究開発法人産業技術総合研究所, エレクトロニクス・製造領域, 研究員 (10610644)
大兼 幹彦 東北大学, 工学研究科, 教授 (50396454)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | spintronics / sensor / memory |
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| Outline of Annual Research Achievements |
We investigated possibilities of Reservoir Computing in the physical systems of: ① ferro-magnetic magnetic tunnel junction (MTJ) sensors, and ② magneto-electric (ME) memories.
In topic ①, we developed the measurements for the response of MTJ sensors using a novel method for hybrid VSM/ac susceptometer. Also we developed large-scale simulations for characterizing the dynamics of collective MTJ sensors.
In topic ②, we developed world-leading quality of Pt/Cr2O3 thin-film devices. Also, we demonstrated a large anomalous Hall effect signal, which opens the way for reading the internal memory state of Cr2O3 antiferromagnetic domains.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
A lot of time and resources were spent on preparing the requirements of research.
The challenges were: time to acquire deposition targets, Cr2O3 sample preparation requires a long time, optimizing growth conditions, and long simulation time.
We are planning on upgrading our capacity to increase the progress speed. We working on more streamlined simulations and sample preparations. We are also outsourcing the circuit board fabrication to an external manufacturer, which will make us focus on design and evaluation.
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| Strategy for Future Research Activity |
In the FY2023, we will start investigating the short-term memory and nonlinear operation of MTJ and ME memories. We will test using external and internal feedback to implement the short-term memory. In the MTJ Sensoron branch, We will continue on demonstrating the memory storing capacity in MTJ sensor dot arrays. We will combine energy-storing elements, such as coils and capacitors, in the feedback loop, to investigate nonlinear dynamics. We will also investigate the memory dynamics of other topological features in MTJ sensors, the vortex state and vortex-antivortex pairs. In the ME Sensoron branch, we will investigate the electric-modulation of ME states using spin-orbit torque (SOT) control. We will challenge if our devices can separate between similar temporal patterns.
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