| Project/Area Number |
20H02579
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 28030:Nanomaterials-related
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Buerkle Marius 国立研究開発法人産業技術総合研究所, 材料・化学領域, 主任研究員 (00756661)
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| Co-Investigator(Kenkyū-buntansha) |
Svrcek Vladimir 国立研究開発法人産業技術総合研究所, エネルギー・環境領域, 主任研究員 (80462828)
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| Project Period (FY) |
2020-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2020)
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| Budget Amount *help |
¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2021: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2020: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | Nanocrystals / Machine learning / Deep learning / Materials informatiocs / bioimaging |
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| Outline of Research at the Start |
Nanocrystals (NC) can be designed to emit and absorb light of a specific wavelength (color) very efficiently, thus the can be used in many applications ( displays, touchscreens, solarcells). Moreover, in our work we focus on environmental friendly and nontoxic materials. Nontoxic NCs provide new means for bioimaging (diagnostics) and drug delivery (treatment).
While NCs have a huge potential, designe and synthesis is very challenging. Therefore our goal is to combine state-of-the-art experiments, computer simulations and machine learning techniques to enhance the development of novel NCs.
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