| Project/Area Number |
20K14437
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 13040:Biophysics, chemical physics and soft matter physics-related
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| Research Institution | Tohoku University (2021-2023)
National Institute of Advanced Industrial Science and Technology (2020) |
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Principal Investigator |
Lieu Uyen 東北大学, 材料科学高等研究所, 助教(研究特任) (00807042)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | Patchy particle / Self-assembly / Mechanism / Structure / Reinforcement learning / Inverse design / Reinforcement Learning / Quasicrystal / self-assembly / patchy particles / dodecagonal quasicrystal / self-assemble / inverse design / optimisation / patchy particle / kagome lattice / curvature / topological defects |
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| Outline of Research at the Start |
Patchy particles are of micrometre size and have patches on the surface. Such particles can assemble into complex structures with novel properties. In this research, we perform numerical simulation to investigate the relation of patchy particle design, assembled structures and properties.
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| Outline of Final Research Achievements |
We have investigated the self-assembly of patchy particles on several aspects. (i) We have elucidate how the topological defects appear on the self-assembly of dipole-like patchy particle on a spherical surface. (ii) The mechanism of the growth and fluctuation of a dodecagonal quasicrystal assembled from patchy particles are revealed. (iii) We propose an inverse design algorithm so that for a given structure, the best type of patchy particle can be found out. (iv) Given the patchy particle and the desired structure, we propose to use reinforcement learning to learn the best control parameter during the self-assembly so that the desired structure is obtained fastest and most efficient.
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| Academic Significance and Societal Importance of the Research Achievements |
The research shows that the self-assembly of nano- and colloidal particles is promising in the development of new materials. We have proposed simulation methods that help to find the best way to obtain desired structures.
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