| 研究課題/領域番号 |
23KJ0196
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 基金 |
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| 応募区分 | 国内 |
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| 審査区分 |
小区分18010:材料力学および機械材料関連
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| 研究機関 | 東北大学 |
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研究代表者 |
YIN MENG 東北大学, 工学研究科, 特別研究員(DC1)
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| 研究期間 (年度) |
2023-04-25 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
2,700千円 (直接経費: 2,700千円)
2025年度: 900千円 (直接経費: 900千円)
2024年度: 900千円 (直接経費: 900千円)
2023年度: 900千円 (直接経費: 900千円)
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| キーワード | Graphene / Gas adsorption / Strain / DFT / Adsorption energy / Bader charge / Gas sensor |
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| 研究開始時の研究の概要 |
First, an atomic-scale analytical model of the gas sensor structure considering multiple interfaces will be establihsed.
Then, strain effects of the proposed model on the gas adsorption behavior will be analyzed using the simulation approach we developed.
After that, the dominant factor will be identified, and an optimal sensor structure and strain control method will be proposed.
Finally, an experimental prototype of the gas sensor will be fabricated and tested by transfering graphene on a soft substrate so that to apply large strains under various gases or biomolecules enviornment.
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| 研究実績の概要 |
In this year's study, we explored the effect of strain on the gas sensing ability of graphene using density-functional theory (DFT). Graphene, known for its excellent surface-to-volume ratio and carrier mobility, is a prime candidate for the development of gas sensors. Our research focuses on understanding how mechanical strains (compressive and tensile) affect the adsorption of different gas molecules (such as nitrogen dioxide and ammonia) by graphene.
Through our systematic investigation, the DFT results reveal a direct linear relationship between the strain applied to graphene and its adsorption energy, with nitrogen dioxide being significantly more sensitive to strain compared to ammonia. Notably, the adsorption energy of nitrogen dioxide on graphene increases by ~70% at 10% compressive strain, while the interaction of ammonia with graphene shows minimal changes in both adsorption energy and charge transfer. Besides, the gas molecules were categorized based on the relative positions of molecular HOMO/LUMO energy levels and graphene's Fermi levels. A qualitative explanation was proposed by analyzing the strain effects on graphene adsorbed with different categories of gases.
These findings suggested a promising approach for designing strain-controlled graphene gas sensors, where gas adsorption behavior was modulated through strain manipulation. Furthermore, this concept can be extended to other nanomaterials, opening avenues for the development of nanomaterial-based gas sensors with external mechanical strain modulation.
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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
Comprehensive theoretical analysis and simulation model development aimed at advancing the field of strain-controlled graphene-based gas sensors has been successfully completed as originally planned. Utilizing density-functional theory (DFT) calculations, we have thoroughly investigated the strain-regulated gas adsorption mechanism, which is capable of fine-tuning or modulating the response of the sensor to various target gas molecules. This exploration not only reveals the fundamental interactions between graphene and gas molecules under different strain conditions, but also develops innovative methods to improve sensor selectivity and sensitivity. Our findings have been summarized in a journal paper, which has already been published. In addition, this research has been presented at several international conferences, where it has received lots of discussions for its novel insights and potential applications in environmental monitoring, industrial safety, and medical diagnostics.
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| 今後の研究の推進方策 |
In our subsequent phase of research, we aim to investigate the modifications induced by strain on the proposed analytical model. This exploration will not only encompass the strain's impact on gas adsorption characteristics but will also extend to a comprehensive examination of how the adsorption properties are influenced by factors such as the graphene's structure, the type of substrate and electrode materials used, as well as variations in temperature and pressure. By fine-tuning the applied strain, we anticipate being able to adjust the sensor's response to different gases, thereby enhancing its selectivity. Ultimately, our goal is to devise an optimal sensor design and a precise strain control methodology that significantly improves the sensor's ability to selectively detect gases.
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