2021 Fiscal Year Annual Research Report
Screening of environmentally friendly quantum-nanocrystals for energy and bioimaging applications by combining experiment and theory with machine learning
Project/Area Number |
20H02579
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Allocation Type | Single-year Grants |
Research Institution | National Institute of Advanced Industrial Science and Technology |
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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Keywords | nanopartilces / machine learning / DFT / luminasence / solarcells |
Outline of Annual Research Achievements |
We studied the electronic and optical properties of quantum-confined nanoparticles. In particular: (i) carbon-based quantum dots with regard to the influence of surface groups on the absorbance and emission properties as well as the long-term stability of the carbon quantum dots under ambient conditions. out experimental observations were rationalized by our first-principles calculations. (ii) magnetic properties of nickel-oxide nanoparticles. We confirmed that the NiO nanoparticles behave similar to bulk NiO as a Mott-insulator. From theory side we demonstrated that one has to go beyond local and semi-local DFT approaches to obtain meaningful results.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Both experiment and theory go along as planned. We could show the possibility of tuning the absorption and emission properties of the nanoparticles and we could demonstrated that the nanoparticles remain stable under ambient conditions which is important for the integration into actual devices.
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Strategy for Future Research Activity |
We plan to continue our work along the following main points: 1. In this FY we plan to intensive the joint research with our overseas colleagues which was postponed due to travel restriction. 2. Integration of NP into devices. 3. Characterization and mapping of magnetic properties of nickel-oxide nanoparticles using surface-based and field measurements of the magnetization.
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