氏名：岡林 希依
所属：大阪大学大学院工学研究科機械工学専攻
概要：乱流，気泡や粒⼦などを含む分散性⼆相流，伝熱，潤滑，流体－構造連成解析，界⾯現象などを対象として，数理モデルの開発，解析⼿法の⾼度化・⾼精度化，現象の解明，データ駆動型モデルの開発，深層強化学習を⽤いた流体制御を⾏った．

 

論文掲載,発表実績:
（学術雑誌掲載論文）

• Bahrul Jalaali, Kie Okabayashi, "A priori assessment of rotational invariance in multiscale convolutional neural network-based subgrid-scale model for wall-bounded turbulent flows", Journal of Turbulence, DOI: https://doi.org/10.1080/14685248.2026.2634273, Feb-26.
• Ryosei Kojima, Yuki Saito, Kie Okabayashi, "Reconstruction of three-dimensional structures from two-dimensional sectional flow fields of cavitating turbulent flows using machine-learning-based super-resolution", Journal of Fluids Engineering, Vol. 148, Issue 2, No. 021209, Feb. 2026.
• Kento Hashimoto, Toshiaki Fukada, and Shintaro Takeuchi, "Sedimentation of conductive particles in a two-dimensional enclosure with conjugate heat transfer including surface-to-surface radiation", International Journal of Heat and Mass Transfer, Vol. 251, No. 127194, Jun. 2025.
• Bahrul Jalaali, Kie Okabayashi, "Multiscale convolutional neural networks for subgrid-scale modeling in large-eddy simulation", Physics of Fluids, Vol. 37, No. 065103, Jun. 2025.
• Shungo Okamura, Kie Okabayashi, "Twin experiments for data assimilation of cavitating flow around a hydrofoil", International Journal of Multiphase Flow, Vol.188, No. 105201, Jul. 2025.

 

（国際会議会議録掲載論文）

• Bahrul Jalaali, Kie Okabayashi, "Interpretable multiscale data-driven subgrid-scale model for wall-bounded turbulence", 78th APS Annual Meeting of the Division of Fluid Dynamics, Nov. 2025.
• Akihiro Yamazawa, Shintaro Takeuchi, "Numerical lubrication model considering the history effect in narrow gaps under a low-resolution environment", American Physical Society Division of Fluid Dynamics Annual Meeting 2025, abstract ID: 2559529, Nov. 2025.
• Shungo Okamura, Kie Okabayashi, "Twin Experiments for Data Assimilation of Cavitating Flow around a Hydrofoil Assuming PIV data as the Pseudo-measurement Data", 11th Int. Symp. on Turbulence, Heat and Mass Transfer, No. AI-1-03, Jul. 2025.
• Toshikazu Noda, Yuina Motozono, Kie Okabayashi, "A priori and a posteriori tests of data-driven cavitation model", 1st International Symposium on AI and Fluid Mechanics, No. S.12-A.2, May-25.

 

（国内研究会等発表論文）

• 中川隆一郎, 岡林希依, "翼周りキャビテーション流れのデータ同化における最適局所化", 第22回キャビテーションに関するシンポジウム, No. S5-2, Dec. 2025.
• 本園 由奈, 田中 和雪, 岡林 希依, "翼周りキャビテーション流れのニューラルPDE ソルバーの構築", 第22回キャビテーションに関するシンポジウム, No. S5-1, Dec. 2025.
• 山澤晟嘉，竹内伸太郎, "狭隘部における非定常潤滑モデルと数値解の埋め込みに関する研究", 日本流体力学会年会2025, No. 5-06, Aug. 2025.

 

（その他）

• 岡林希依, "深層強化学習を用いた流体機械の形状改善・流体制御", 機械の研究 Vol. 77, No. 4, pp. 243-252 2025年4月.