研究概要

主要論文

• 1. Atsushi Tajima, Takumi Hirata, Jun Ikeda, Kosuke Nakasato, Takahiro Kamiwaki, Junichi Wakamatsu, Munehiko Oshima, Makoto Tsubokura:
  "Main Factors that Modulate Vehicle Wind Noise and Measures to Reduce It.",
  Journal of Wind Engineering and Industrial Aerodynamics, vol.266, pp.106210 (2025),
  DOI: 10.1016/j.jweia.2025.106210
• 2. Koji Nishiguchi, Tokimasa Shimada, Christian Peco, Keito Kondo, Shigenobu Okazawa, Makoto Tsubokura:
  "Eulerian finite volume method using Larrangian markers with reference map for incompressible fluid-structure interaction problems",
  Computers & Fluids, vol. 274, 106210 (2024),
  DOI: 10.1016/j.compfluid.2024.106210
• 3. Aito Higashida, Kazuto Ando, Mario Ruttgers, Andreas Lintermann, Makoto Tsubokura:
  "Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields,
  Future Generation Computer Systems, vol.159, pp.243-254 (2024),
  DOI: 10.1016/j.future.2024.05.005
• 4. Kazuto Ando, Keiji Onishi, Rahul Bale, Akiyoshi Kuroda, Makoto Tsubokura :
  "Nonlinear Reduced-Order Modeling for Three-Dimensional Turbulent Flow by Large-Scale Machine Learning,
  Computers and Fluids (2023),
  DOI: 10.1016/j.compfluid.2023.106047
• 5. Rahul Bale, ChungGang Li, Hajime Fukudome, Saori Yumino, Akiyoshi Iida, Makoto Tsubokura:
  "Characterizing infection risk in a restaurant environment due to airborne diseases using discrete droplet dispersion simulation",
  Heliyon, 9(10), e20540 (2023),
  DOI: 10.1016/j.heliyon.2023.e20540
• 6. Kazuto Ando, Rahul Bale, ChungGang Li, Satoshi Matsuoka, Keiji Onishi, Makoto Tsubokura (alphabetical order by surname)(2021 ACM Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research awardee):
  "Digital Transformation of Droplet/Aerosol Infection Risk Assessment Realized on “Fugaku” for the Fight against COVID-19, (2022)",
  International Journal of High Performance Computing Applications, vol.36, No.5-6, pp.568-586 (2022),
  DOI: 10.1177/10943420221116056
• 7. Rahul Bale, Akiyoshi Iida, Masashi Yamakawa, ChungGang Li, Makoto Tsubokura:
  "Qantifying the COVID 19 infection risk due to droplet/aerosol inhalation",
  Scientific Reports, Vol.12, 11186 (2022),
  DOI: 10.1038/s41598-022-14862-y
• 8. Rahul Bale, Amneet Pal Singh Bhalla, Boyce E. Griffith, Makoto Tsubokura:
  "A one-sided direct forcing immersed boundary method using moving least squares",
  Journal of Computational Physics, vol.440, 110359 (2021),
  DOI: 10.1016/j.jcp.2021.110359
• 9. Koji Nishiguchi, Rahul Bale, Shigenobu Okazawa, Makoto Tsubokura:
  "Full Eulerian Deformable Solid-Fluid Interaction Scheme Based on Building-Cube Method for Large-Scale Parallel Computing",
  Journal for Numerical Methods in Engineering, vol.117, no.2 (2019),
  DOI: 10.1002/nme.5954
• 10. Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
  "CUBE: A scalable framework for large-scale industrial simulations",
  International Journal of High Performance Computing Applications,vol.33, No.4, pp.678-698 (2018),
  DOI: 10.1177/1094342018816377

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