| 研究課題/領域番号 |
20H02579
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| 配分区分 | 補助金 |
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| 研究機関 | 国立研究開発法人産業技術総合研究所 |
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研究代表者 |
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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| 研究分担者 |
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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| 研究期間 (年度) |
2020-04-01 – 2025-03-31
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| キーワード | nanopartilces / machine learning / DFT / luminasence / solarcells |
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| 研究実績の概要 |
We research nanoparticles for various applications; next generation solar cells, optical applications, and bioimaging. In this project focus on environmental friendly materials, suchs as silicon, carbon, tin, as well as abundantly available metallic particles such as nickel. We combine theory with experiment. Namely high-throughput first-principles calculations and novel machine learning techniques. These efforts are combined with experiment, synthesizing, characterizing, and for most promising systems device fabrication. In the last fiscal year we established our methodology for both computational efforts as well as experimental studies. We have produced novel carbon-nanodot particles and magnetic nickel nanoparticles. Which are currently studied by means of first-principles calculations.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
We established our computational method this FY and provided first results which are in good agreement with our experimental efforts. This essentially concludes the initial phase of the project with aimed to establish and validate our combined theory and experiment approach.
While due to Corona-related restrictions we were not able to exchange research results and provide on-site training and research with our international projects, we were able to provide our international research partners with valuable first-principles results as well as provide characterization of nanoparticles using local facilities.
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| 今後の研究の推進方策 |
After establishing and validating our combined theory and experimental scheme, we are moving now into the "production phase", targeting in the coming fiscal year, carbon-based nanoparticles as well as magnetic nanoparticles. The next step includes (i) extensive first-principle studies of electronic and optical properties, (ii) stability predictions using machine learning, (iii) synthesize of the nanoparticles, and (iv) optical and electronic characterization. Additionally we plan to intensive the collaboration with our international partners in the next fiscal year.
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