タイトル
著者	巻	号	ページ	年	PKV
Energy transfer in von Kármán swirling flow of dilute polymer solutions
Feng Wang, Yi-Bao Zhang, Heng-Dong Xi	37	3	035142–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Direct numerical simulation for air–water two-phase flow with a ghost-pressure method in a fully staggered curvilinear grid
Sungtek Park	37	3	035143–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Structural characteristics of uniform momentum zones in turbulent boundary layers for Reynolds number below 1000
Guanghao Chen, Ziye Fan, Jinhui Yue, Xiaoqi Cheng, Zhanqi Tang, Nan Jiang	37	3	035144–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Turbulent dissipation rate and length-scale anisotropy through passive grid turbulence
Pankaj Kumar Raushan, Bellie Sivakumar, Koustuv Debnath	37	3	035145–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Cavity flows at high Reynolds numbers
Ping Wang, Yong Peng, Sihan Cheng, Linghan Gao, Xianfei Yin, Yanbo Shen, Xuan Gao	37	3	035146–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
The mass transport characteristics and performance improvement with the nonuniform block flow channel in a proton exchange membrane fuel cell
Lu-Yi Sun, Lin Lin, Shao-Fei Zheng, Ming-Jie Bai, Duu-Jong Lee, Xiao-Dong Wang	37	3	035147–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A one-way coupling method from the two-layer Boussinesq model to the Reynolds-averaged Navier–Stokes solver for simulating wave–structure interactions
Li Xiao, Kezhao Fang, Minghan Huang, Zhongbo Liu, Hong Jin	37	3	035148–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
R. Abadía-Heredia, A. Corrochano, M. Lopez-Martin, S. Le Clainche	37	3	035149–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Coherent structures in the wake of sphere at subcritical Reynolds numbers via wall-modeled stress blended eddy simulation
Linxin Lan, Panpan Han, Yunxiang You, Meng Ji, Xiaoping Qiu, Qiao Ma, Kaijian Wu	37	3	035150–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Improving resolution of turbulent flow field prediction using limited measurements and Bayesian inferred physics-informed neural network
Nagendra Kumar Chaurasia, Shubhankar Chakraborty	37	3	035151–None	2025	0.0
平均評価: 0.0 / 5 (0 件のレビュー)