2023 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 |
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)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | Magnetic sensor / Chaos |
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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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