Publications(2024)

2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

Original Ariticles

• Sangwon Kim, Onishi Junya, Bale Rahul, and Tsubokura Makoto : Droplet dispersion simulation to evaluate airborne virus infection risk in outdoor sports stadiums, vol. 19(2), JFST0008, Journal of Fluid Science and Technology, https://doi.org/10.1299/jfst.2024jfst0008, (2024)(March 28, 2024)
• Chenguang Lai, Yujie Zhu, Liangkui Tan, Zeyu Zhen, Makoto Tsubokura: Aeroacoustic investigation of multi-directional wings aligned in tandem under wing-in-ground effect, Physics of Fluids, vol.36, 014118, https://doi.org/10.1063/5.0185398 (2024)(Jan., 2024)
• Aito Higashida, 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, https://doi.org/10.1016/j.future.2024.05.005 (2024)
• Rishabh Puri, Junya Onishi, Mario Ruttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Linterman: On the choice of physical constraints in artificial neural netwroks for predicting flow fields, Future Generation Computer Systems, accepted for publication (2024)
• Atsushi Tajima, Jun Ikeda, Kosuke Nakasato, Takahiro Kamiwaki, Junichi Wakamatsu, Munehiko Oshima, ChungGang Li, Makoto Tsubokura: Numerical simulation of fluctuating wind noise of a vehicle in reproduced on-road wind condition, SAE International Journal of Advances and Current Practices in Mobility, 2024-01-2353, https://doi.org/10.4271/2024-01-2353 (2024)
• Chenguang Lai, Yujie Zhu, Makoto Tsubokura: Numerical study on noise reduction of ground-effect wing with serrated trailing edge, Aerospace Science and Technology, 109510, https: //doi.org/10.1016/j.ast.2024.109510 (2024)
• Alicia Murga, Rahul Bale, Kazuhide Ito, Makoto Tsubokura : Ventilation strategies for inhalation exposure risk mitigation: Eulerian-Lagrangian LES analysis o fparticle-laden turbulent flow applying virtual manikins, Building and Environment, vol.266, 112149, https://doi.org/10.1016/j.buildenv.2024.112149 (2024)
• Rahul Bale, Makoto Tsubokura: Leveraging the supercomputer Fugaku for the assessment of droplet/aerosol transmission risks in COVID-19 mitigation effrots, IEEJ Transactions on Electrical and Electronic Engineering, DOI:10.1002/tee.24091 (2024)(09 May 2024)

International Conferences

• Makoto Tsubokura (Opening Plenary talk): Digital transformation of the Airborne Infection Risk Assessment and AI Supported Smart Desing Realized on the Supercomputer “Fugaku” toward Society 5.0, The international conference on high performance computing in Asia-Pacific region (HPC Asia 2024)(Jan 25-27, 2024, Nagoya, Japan)
• Atsushi Tajima, Jun Ikeda, Kosuke Nakasato, Takahiro Kamiwaki, Junichi Wakamatsu, Munehiko Oshima, ChungGang Li, Makoto Tsubokura: Numerical simulation of fluctuating wind noise of a vehicle in reproduced on-road wind condition, WCX SAE World Congress Experience (April 16-18, 2024, Detroit, Michigan,), SAE Technical Paper, 2024-01-2353, https://doi.org/10.4271/2024-01-2353 (2024)
• Makoto Tsubokura: Airborne transmission simulation by unifying indoor and respiratory-tract flows toward indoor environment optimization, 8th International Conference on Computational & Mathematical Biomedical Engineering (CMBE24) (24-26, June, Arlington, USA), pp.132-135, ISSN:2227-9385 (2024)
• Alicia Murga, Rahul Bale, Kazuhide Ito, Makoto Tsubokura: Using virtual manikins to tackle particle transport and inhalation risk assessment under different advanced air distribution methods, Proc. on 18th Conference of the International Society of Indoor Air Quality and Climate, Indoor Air (July 7-11, Honolulu, Hawaii USA), pp. 761-762 (2024)
• Ayato Takii, Tatsuya Miyoshi, Masahiro Yamakawa, Yusei Kobayashi, Shinichi Asao, Seiichi Takeuchi, Makoto Tsubokura: Simulation of droplet dispersion from choughing with consideration of face mask motion, International Conference on Computational Science, pp.70-84, Springer Nature Switzerland (2024)
• Junya Onishi and Makoto Tsubokura: A study on the effect of the number of collocation points in the training of physics-informed neural networks for unsteady flows, Proceedings of the 35th Parallel CFD International Conference 2024, (accepted).
• Hang Fu, Qingyu Wang, Takuji Nakashima, Rahul Bale, Makoto Tsubokura: Performance study of gradient-enhanced Kriging based parallel efficient global optimization, 4th Digital Society and Intelligent Systems (DSInS) conference (20-22, Nov., 2024, Australia, Sydney) (2024)(Hang Fu, Best Student Paper Award)
• Junya Onishi, Makoto Tsubokura: A study on efficient training of physics-informed neural networks for unsteady flows, ERCOFTAC Workshop on Machine Learning for Fluid Dynamics (6-8, March, 2024, Paris), 2024
• Junya Onishi, Shoki Mori, Makoto Tsubokura: Application of physics-informed deep operator networks to solving unsteady flow problems, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144A, 2024
• ChungGang Li, Rahul Bale, Makoto Tsubokura: An Efficient Immersed Boundary Method for Conjugate Heat Transfer Based on a Fully Compressible Solver, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144B, 2024
• Sangwon Kim, Makoto Tsubokura: Direct Numerical Simulation of Millimeter-sized Bubble Dynamic on Horizontal Channel flow with Riblet Surfaces, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144B, 2024
• Alicia Murga, Haruki Nakagawa, Rahul Bale, Kazuhide Ito, Makoto Tsubokura: High Performance Computational Fluid Dynamics and Optimization Algorithms for Indoor Environment Design, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144C, 2024
• Rahul Bale, S. Ohashi, A. Murga, M. Tsubokura: Prediction of Airborne Virus Transmission: Integrating Computational Fluid Dynamics with Host Cell Dynamics, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144C, 2024
• Takuji Nakashima, Ryota Mizoguchi, Takenori Hiraoka, Iwao Koizumi, Takahide Nouzawa, Kohei Seo, Keigo Shimizu, Yusuke Nakamura, Akira Oyhama, Makoto Tsubokura: Two-Objective Design Exploration of Body Proportions and Aerodynamics of an Automobile, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144C, 2024
• Kazuto Ando, Rahul Bale, Akiyoshi Kuroda, Makoto Tsubokura: Nonlinear Reduced-Order Modeling for Three-Dimensional Turbulent Flow Around Vehicle Body Using Distributed Parallel Machine Learning, 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) (3-7, June, Lisbon), MS144B, 2024
• Ayato Takii, Rahul Bale, Chung-Gang Li, Masashi Yamakawa, Makoto Tsubokura: Numerical Simulation of Flying Car with Fluid-Body Interaction using Hierarchical Cartesian Mesh, 10-D-03, The 12th International Conference on Computational Fluid Dynamics (ICCFD12) conference(14-19, July 2024, Kobe, Japan) (2024)
• Yutaro Ishida, Junya Onishi, ChungGang Li, Sangwon Kim, Younghwa Cho, Makoto Tsubokura: Assessment of Immersed Boundary Method Suitable for Kinetic Energy and Entropy Preserving Scheme, 7-A-02, The 12th International Conference on Computational Fluid Dynamics (ICCFD12) conference(14-19, July 2024, Kobe, Japan) (2024)
• Shota Nishinakagawa, Shushi Nakaoka, Masahide Onuki, Takahiro Sajima, Makoto Tsubokura: Large-Eddy Simulation on Golf-Ball at Supercritical Reynolds Number and its Comparison with Smooth-Sphere, 5-B-03, The 12th International Conference on Computational Fluid Dynamics (ICCFD12) conference(14-19, July 2024, Kobe, Japan) (2024)
• Yutaro Ishida, Junya Onishi, ChungGang Li, Sangwon Kim, Younghwa Cho, and Makoto Tsubokura: Assessment of Immersed Boundary Method Suitable for Kinetic Energy and Entropy Preserving Scheme, 12th International Conference on Computational Fluid Dynamics (14-19, Jul., 2024, Kobe, Japan) (2024)
• Rahul Bale, Tokimasa Shimada, Koji Nishiguchi, Shigenobu Okazawa, Makoto Tsubokura: Towards a unified formulation for rigid, deformable and elastic fluid-structure interactions, 4th International Workshops on Advances in Computational Mechanics (18-20 Sept, 2024, Kitakyushu, Japan) (2024)
• Yuji Wada, Tokimasa Shimada, Koji Nishiguchi, Shigenobu Okazawa, Makoto Tsubokura: Plate manufacturing constraint in topology optimization under the building cube method framework, 4th International Workshops on Advances in Computational Mechanics (18-20 Sept, 2024, Kitakyushu, Japan) (2024)
• Kazuto Ando, Rahul Bale, Akiyoshi Kuroda, Makoto Tsubokura: Robustness evaluation for neural-network-based reduced-order model for predicting turbulent flows, 4th International Workshops on Advances in Computational Mechanics (18-20 Sept, 2024, Kitakyushu, Japan) (2024)
• ChungGang Li, Rahul Bale, Makoto Tsubokura: Development of a Conjugate Heat Transfer (CHT) Framework for a Compressible Solver in a Supercomputing Environment, 4th International Workshops on Advances in Computational Mechanics (18-20 Sept, 2024, Kitakyushu, Japan) (2024)
• Makoto Tsubokura, Rahul Bale, Alicia Murga, Kazuhide Ito, Andreas Lintermann, Mario Ruttgers, 15th International Conference on Parallel Processing and Applied Mathematics (PPAM2024), Workshop on Advancements of Global Challenges Applications (AGCA) (10, September, 2024, Ostrava, Czech Republic) (2024)
• Alicia Murga Aquino, Haruki Nakagawa, Rahul Bale, Makoto Tsubokura: Optimization of airflow rate in a displacement-ventilated room to minimize particle inhalation risk and control energy consumption, 44th Air Infiltration and Ventilation Centre (AIVC) conference(9-10, Oct., 2024, Dublin, Denmark) (2024)

Domestic Conferences

• 大西 順也, 坪倉 誠, 非定常流れ解析に向けた Physics-informed DeepONetの 基礎的特性に関する検討, 日本流体力学会年会2024（2024年9月25日～27日，仙台） (2024)
• 大西順也, 坪倉誠: DF-PINNsの訓練過程におけるコロケーション点配置の影響, 第56回流体力学講演会第42回航空宇宙数値シミュレーション技術シンポジウム（2024年7月3日～5日，鹿児島）（2024）
• 藤原僚太郎, 林勇樹, バレラフール, 嶋田宗将, 山本敬三, 坪倉誠: 潜水泳法の動作とその推進力に関する自己推進型流体シミュレーション, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 平井雄大, 滝井郁人, 嶋田宗将，Bale Rahul，浦久保孝光，坪倉誠: 階層型直交格子におけるドローン空中制御の6軸運動－空力連成シミュレーション, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 川崎朝陽, 溝口亮太, 中島卓司, 清水圭吾, 瀬尾晃平, 大山聖, 嶋田宗将, Rahul Bale, 坪倉誠: 自動車の意匠性を考慮した進化計算による多目的空力設計探査, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 安藤和人, バレラフール, 黒田明義, 坪倉誠：ニューラルネットワークを使用した乱流予測モデルのロバストネス評価, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 大西順也, 上月圭裕，坪倉誠：非定常流れに向けたDF-PINNsの訓練におけるKANの導入に関する検討, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 大西順也，滝井郁人，Kim Sangwon，Cho Yonghwa，坪倉誠：行列積状態を用いて実装した流体解析コードの性能評価, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• 菅尾紫央，バレラフール，嶋田宗将，吉竹邦彦，ヌチェラフォル，吉野崇，坪倉誠：追い抜かれる車両に作用する空気力学の発生メカニズム解明に向けた車両運動-空力連成シミュレーション, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)
• Sangwon Kim, Junya Onishi, Ayato Takii, Younghwa Cho, Makoto Tsubokura : Hamiltonian simulation for solving Linear PDE via Schrödingerisation, 第38回数値流体力学シンポジウム(2024年12月11日～13日，東京都目黒区駒場)

Prizes

Others

Copyright(C) "Computational Fluid Dynamics Laboratory." All Rights Reserved.