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Determining pressure from velocity via physics-informed neural network 期刊论文
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2025, 卷号: 109, 页码: 1-21./通讯作者：Liu, Tianshu
Authors:  Cai, Zemin;  Lin, Xiangqi;  Liu, Tianshu;  Wu F(吴凡);  Wang SZ(王士召);  Liu, Yun
Favorite  |  View/Download：45/0  |  Submit date：2024/10/08
Pressure  Velocity  PINN  Machine learning  Neural network  Flow  Navier-Stokes equations  
Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2024, 卷号: 45, 期号: 9, 页码: 1467-1480./通讯作者：Zhang, Lei
Authors:  Wang L(王笼);  Zhang L(张磊);  He GW(何国威)
Favorite  |  View/Download：55/0  |  Submit date：2024/10/08
physics-informed neural network (PINN)  singular perturbation  boundary-layer problem  composite asymptotic expansion  O302  
基于PINN神经网络模型的NACA0012翼型流场周期性振荡运动的流场重构方法初探 会议论文
第七届全国流固耦合与非常流体力学学术会议, 中国江苏盐城, 2024-04-08
Authors:  刘江硕;  彭瑞东;  郑冠男;  陈军屹
Adobe PDF(1273Kb)  |  Favorite  |  View/Download：1026/16  |  Submit date：2025/01/22
深度学习  流体力学  PINN方法  
A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56./通讯作者：张星
Authors:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  Favorite  |  View/Download：505/148  |  Submit date：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder