| Project/Area Number |
21K04816
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 28020:Nanostructural physics-related
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| Research Institution | Tohoku University |
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Principal Investigator |
LLANDRO Justin 東北大学, 電気通信研究所, 助教 (90784140)
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Project Status |
Discontinued (Fiscal Year 2022)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | gyroids / spin waves / spin transport / topology / chiral / self-assembly / PXCT / 3D nanomagnetism / gyroid / spin wave |
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| Outline of Research at the Start |
Networks of nanostructures can acquire new, emergent properties which arise from the topology of the network. This project aims to study magnetic gyroids, 3D networks of nanoscale helices, which combine topology with magnetism to open new possibilities for spintronics and novel computing paradigms.
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| Outline of Annual Research Achievements |
This study aims to investigate the influence of morphology on magnetism and spin transport in 3D nanoscale networks. We clarified that Ni gyroids, composed of chiral 3-connected nodes, behave as frustrated networks of non-collinear, non-Ising macrospins with highly orientation-dependent magnetoresistance. We successfully demonstrated that Ni gyroids exhibit both strongly anisotropic spin-wave transport and potential localisation of spin waves. Using X-ray nanotomography, we succeeded in imaging in 3D samples fabricated by self-assembly of both gyroids and achiral, 4-connected single-diamond networks, quantifying the distortion of the network during self-assembly and for the first time revealing extended liquid-crystal-like topological defects. These results are expected to lead to new ways to design and control collective and topological effects via morphology control in magnetic networks for spintronics and unconventional computing applications.
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