2023 Fiscal Year Research-status Report
Elucidating the key synthetic factors for structural control in nanomaterials synthesis by data-driven approaches
| Project/Area Number |
23K04552
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
陳 国海 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 (20805642)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Keywords | carbon nanotube / microplasma / high crystallinity / data-driven |
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| Outline of Annual Research Achievements |
Data-driven research was conducted to explore important synthetic factors for achieving high crystallinity and yield in CNT synthesis using our current dataset. Simultaneously achieving these mutually exclusive properties in CNTs is a significant challenge, as it requires overcoming inherent trade-offs. A prediction model was established and subsequently validated experimentally. It revealed the surprising importance of the carbon feedstock, particularly its reactivity and concentration, as a means to overcome the trade-off. The results have been published in ACS Nano.
Experimentally, the size of catalyst particles and CNTs can be modulated by adjusting the residence time in plasma. A clear downshift of Raman RBM peaks was observed as increasing H2 concentration. Further study is ongoing.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
In this fiscal year, my focus has primarily been on the data-driven research aspect, specifically the exploratory data analysis of our current dataset, a central component of my research plan. This analysis aims to deeply understand the key synthetic factors from among many, to guide further experimentation. As a result, I have published an article as the corresponding author in a high-impact factor journal (ACS Nano). Consequently, less effort has been devoted to the experimental part, leading to a slight delay in terms of the proposed research plan.
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| Strategy for Future Research Activity |
I plan to advance both theoretical and experimental aspects of my research, focusing on the most critical experiments and achievable goals. I will continue my data-driven research and aim to streamline experiments to rapidly gain insights, especially in controlling microplasma on catalyst nanoparticles and examining the effects of sheath gases and carbon mixing timing on CNT growth. I intend to develop protocols for systematically investigating how carbon mixing timing influences catalyst nanoparticle size, density, and activity, as well as CNT quality and yield. My approach will be iterative, using data from ongoing experiments to continuously improve the model. This strategy is designed to maximize the efficiency and impact of my research, keeping it on track towards its final goals.
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| Causes of Carryover |
In this fiscal year, my primary focus has been on data-driven research, specifically the exploratory data analysis of our current dataset, a central component of my research plan, that yielded a notable publication. Consequently, less funding was allocated to experimental activities. In the next fiscal year, I plan to concentrate on experimental aspects, which will require the majority of the grant funds. This will cover material costs and outsourced analyses. Additionally, I plan to attend domestic and international conferences, which will also necessitate a significant portion of the budget.
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