CVClient

安田 修悟

ヤスダ シユウゴ  (Shugo Yasuda)

基本情報

所属
兵庫県立大学 大学院 情報科学研究科 教授
学位
博士(工学)(2005年3月 京都大学)
修士(工学)(2002年3月 京都大学)

ORCID ID
 https://orcid.org/0000-0002-1824-0032
J-GLOBAL ID
201401009349676260
researchmap会員ID
B000238758

外部リンク

学歴

 3

委員歴

 3

論文

 33
  • Benoît Perthame, Francesco Salvarani, Shugo Yasuda
    Bulletin of Mathematical Biology 2026年8月  査読有り
  • Kotaro Oda, Shugo Yasuda
    Modelling and Simulation in Materials Science and Engineering 2025年7月31日  査読有り
  • Kotaro Oda, Shugo Yasuda
    Physical Review E 2024年6月3日  査読有り
  • Kenta Adachi, Shugo Yasuda
    Springer Proceedings in Mathematics & Statistics 235-248 2023年10月31日  査読有り
  • Shugo YASUDA
    Bulletin of Mathematical Biology 84(10) 113-113 2022年10月  査読有り
    Aggregation of chemotactic bacteria under a unimodal distribution of chemical cues was investigated by Monte Carlo (MC) simulation based on a kinetic transport equation, which considers an internal adaptation dynamics as well as a finite tumbling duration. It was found that there exist two different regimes of the adaptation time, between which the effect of the adaptation time on the aggregation behavior is reversed; that is, when the adaptation time is as small as the running duration, the aggregation becomes increasingly steeper as the adaptation time increases, while, when the adaptation time is as large as the diffusion time of the population density, the aggregation becomes more diffusive as the adaptation time increases. Moreover, the aggregation profile becomes bimodal (volcano) at the large adaptation-time regime when the tumbling duration is sufficiently large while it is always unimodal at the small adaptation-time regime. A remarkable result of this study is the identification of the parameter regime and scaling for the volcano effect. That is, by comparing the results of MC simulations to the continuum-limit models obtained at each of the small and large adaptation-time scalings, it is clarified that the volcano effect arises due to the coupling of diffusion, adaptation, and finite tumbling duration, which occurs at the large adaptation-time scaling.

MISC

 48
  • Shugo Yasuda, Kotaro Oda, Fumito Muragaki, Yuta Taketa, Masashi Iwayama, Tomohide Ina
    2026年4月27日  
    We propose a multiscale computational method for thin-layer flows of complex fluids, termed the synchronized molecular dynamics (SMD) method, which directly couples local molecular dynamics (MD) simulations with a macroscopic lubrication description. In thin layers, the flow can be decomposed into cross-sectional dynamics that are strongly influenced by interfacial effects, and streamwise transport along the channel. The SMD method exploits this separation of scales by sparsely distributing local MD cells along the channel and synchronizing them through macroscopic conservation laws. In this framework, the macroscopic continuity equation is enforced by iteratively updating the external forces applied to each MD cell, thereby allowing the cross-sectional velocity profiles and the streamwise pressure distribution to be obtained without prescribing constitutive relations or boundary conditions. The method is validated for pressure-driven and wall-driven flows of Lennard--Jones fluids in a wedge-shaped channel, demonstrating excellent agreement with a modified Reynolds equation that accounts for boundary slip. The SMD method is further applied to polymeric lubrication flows modeled by the Kremer--Grest chain model. At large pressure differences, the present approach naturally captures pronounced shear-thinning behavior coupled with microscopic polymer conformation dynamics. The results demonstrate that the SMD method provides an efficient and physically consistent framework for the multiscale simulation of complex fluid thin-layer flows.
  • Shugo Yasuda
    RIMS Kokyuroku 2282 116-139 2024年5月  筆頭著者最終著者責任著者
  • 安田修悟
    京都大学数理解析研究所講究録 2165(2165) 105-109 2020年7月  筆頭著者最終著者責任著者
  • 安田 修悟
    アンサンブル 20(2) 130-131 2018年  
  • 仲村 鴻輝, 安田 修悟
    年次大会 2018 J0420201 2018年  

講演・口頭発表等

 98

共同研究・競争的資金等の研究課題

 10

学術貢献活動

 14

社会貢献活動

 9