| Project/Area Number |
23KF0085
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Multi-year Fund |
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| Section | 外国 |
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| Review Section |
Basic Section 29030:Applied condensed matter physics-related
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
NORI FRANCO 国立研究開発法人理化学研究所, 開拓研究本部, 主任研究員 (50415262)
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| Co-Investigator(Kenkyū-buntansha) |
SMIRNOVA DARIA 国立研究開発法人理化学研究所, 開拓研究本部, 外国人特別研究員
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| Project Period (FY) |
2023-04-25 – 2024-03-31
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| Project Status |
Discontinued (Fiscal Year 2023)
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| Budget Amount *help |
¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2023: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | Topological / nanophotonic device |
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| Outline of Research at the Start |
We will study emergent higher-order topological states stemming from bianisotropy (magneto-electric coupling) and long-range ineteractions specific to electro magnetic systems. The dual nature of the electromagnetic field and the presence of near- and far-field interactions provide richer opportunities for higher-order topological phases than available in condensed-matter systems. Long-range interactions can be tailored on demand by proper engineering of electromagnetic metamaterilas (artificial materials with unusual properties), thus offering control over field localization.
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| Outline of Annual Research Achievements |
Under my general guidance, the Fellow conducted research for her project entitled “Topological nanophotonic metamaterials for robust integrated devices.” I supported the Fellow's leadership in the machine-learning subproject and her collaboration with RIKEN-based Senior Scientist Dr. Konstantin Bliokh, with whom the Fellow co-authored papers in 2015 and 2018. Training-through-research was facilitated through the rapid integration of the Fellow into the supportive environment of the group. The Fellow had the opportunity to communicate extensively with members of my laboratory and visitors in the regular seminar series. She also had access to all the necessary numerical facilities, including software packages and RIKEN supercomputer, which were particularly useful for running machine-learning applications. During the visit, she presented a seminar “Dirac-like physics emulated in photonic platforms” at the RIKEN Center for Quantum Computing and participated in the international workshop LPHYS'23 online. Overall, the visit was productive and mutually beneficial, enriching our photonics research agenda.The Fellowship played an essential role in refreshing and renewing a long-term collaboration with a twist to cutting-edge topics of topological materials and machine learning.
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