| Project/Area Number |
23K22808
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| Project/Area Number (Other) |
22H01538 (2022-2023)
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Multi-year Fund (2024)
Single-year Grants (2022-2023) |
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| Section | 一般 |
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| Review Section |
Basic Section 21060:Electron device and electronic equipment-related
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| Research Institution | Tohoku University |
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Principal Investigator |
アルマダウィ ミフタ (ALMAHDAWI MUFTAH) 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) |
大兼 幹彦 東北大学, 工学研究科, 教授 (50396454)
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)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Declined (Fiscal Year 2024)
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| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2024: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2023: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2022: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000)
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| Keywords | Magnetic sensor / Chaos / スピントロニクス / センサ / spintronics / sensor / memory / Spintronics / Sensing / Computing |
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| Outline of Research at the Start |
New information processing techniques are needed for Internet-of-Things (IoT) applications. The spintronic-based reservoir computing (RC) have many merits compared to other PRC systems: the compatibility with semiconductor large-scale integration, long endurance, and sensing capability. State variables of ferro- and
antiferro-magnetism in spintronic devices offer a strong advantage for nonlinear dynamics, non-volatility, and low-power operation. Additionally, magnetic spintronic sensors can directly interface with many applications from automotive to biomedical domains.
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| Outline of Annual Research Achievements |
On the way to realizing the "Sensoron", fusing sensing and computation, we succeeded in demonstrating the possibility of computing capacity in magnetic sensors based on tunneling magnetoresistance effect.
We proved that topological features called vortex cores exists in the sensing region of magnetic TMR sensors. These cores exhibit chaotic dynamics and rapid core reversals during their response to magnetic field changes. The presence of highly-nonlinear dynamics of the topological vortex cores provide computing capacity to the temporal magnetic field inputs, and they can be used to perform time-dependent simple signal processing.
We also succeded in characterizing the lossy dynamics of magnetic sensing layers. We developed a novel magnetic measurement method based on modulating the response of vibrating sample magnetometer (VSM). We could measure the complex magnetic ac susceptibility of sensor components for the first time. We used this method to characterize the response of domain walls to external field perturbations. We showed the dynamic losses are a signature of a short-term memory effect from domain walls.
These achievements have been published in international conferences and journals, and they generated a strong interest from industrial and academic magnetics community.
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| Research Progress Status |
翌年度、交付申請を辞退するため、記入しない。
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| Strategy for Future Research Activity |
翌年度、交付申請を辞退するため、記入しない。
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