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Journal Articles

Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder

Mustafa Z. Yousif, Paraskovia Kolesova, Yifan Yang (杨一凡), Meng Zhang (张梦), Linqi Yu (俞霖奇), Jean Rabault, Ricardo Vinuesa, Hee-Chang Lim (임희창)

Physics of Fluids 35, 125101 (2023)

https://doi.org/10.1063/5.0174724

Published: December 2023

View article titled, Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder

Journal Articles

Spatial prediction of the turbulent unsteady von Kármán vortex street using echo state networks

M. Sharifi Ghazijahani, F. Heyder, J. Schumacher, C. Cierpka

Physics of Fluids 35, 115141 (2023)

https://doi.org/10.1063/5.0172722

Published: November 2023

View article titled, Spatial prediction of the turbulent unsteady von Kármán vortex street using echo state networks

Journal Articles

Convolutional neural networks for compressible turbulent flow reconstruction

Filippos Sofos (Φίλιππος Σοϕός), Dimitris Drikakis (Δημήτρης Δρικάκης), Ioannis William Kokkinakis (Ιωάννης Κοκκινάκης), S. Michael Spottswood

Physics of Fluids 35, 116120 (2023)

https://doi.org/10.1063/5.0177654

Published: November 2023

View article titled, Convolutional neural networks for compressible turbulent flow reconstruction

Journal Articles

Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm

Muharrem Hilmi Aksoy, Ilker Goktepeli, Murat Ispir, Abdullah Cakan

Physics of Fluids 35, 114110 (2023)

https://doi.org/10.1063/5.0176637

Published: November 2023

View article titled, Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm

Journal Articles

Levenberg–Marquardt neural network-based intelligent computation for the non-Newtonian polymer during forward roll coating

Fateh Ali, Yanren Hou, Xinlong Feng, M. Zahid, Muhammad Usman Ali, Puntani Pongsumpun

Physics of Fluids 35, 113111 (2023)

https://doi.org/10.1063/5.0176202

Published: November 2023

View article titled, Levenberg–Marquardt neural network-based intelligent computation for the non-Newtonian polymer during forward roll coating

Journal Articles

Fast flow prediction of airfoil dynamic stall based on Fourier neural operator

Deying Meng (孟德颖), Yiding Zhu (朱一丁), Jianchun Wang (王建春), Yipeng Shi (史一蓬)

Physics of Fluids 35, 115126 (2023)

https://doi.org/10.1063/5.0172117

Published: November 2023

View article titled, Fast flow prediction of airfoil dynamic stall based on Fourier neural operator

Journal Articles

A physics-informed deep learning closure for Lagrangian velocity gradient evolution

Bo Liu (刘博), Zhen-Hua Wan (万振华), Xi-Yun Lu (陆夕云), Luo-Qin Liu (刘罗勤)

Physics of Fluids 35, 115108 (2023)

https://doi.org/10.1063/5.0172066

Published: November 2023

View article titled, A physics-informed deep learning closure for Lagrangian velocity gradient evolution

Journal Articles

Intelligent flow field reconstruction based on proper orthogonal decomposition dimensionality reduction and improved multi-branch convolution fusion

Maotao Yang (杨茂桃), Gang Wang (王刚), Mingming Guo (郭明明), Ye Tian (田野), Zhiwen Zhong (钟志文), Mengqi Xu (胥梦绮), Linjing Li (李林静), Jialing Le (乐嘉陵), Hua Zhang (张华)

Physics of Fluids 35, 115106 (2023)

https://doi.org/10.1063/5.0174660

Published: November 2023

View article titled, Intelligent flow field reconstruction based on proper orthogonal decomposition dimensionality reduction and improved multi-branch convolution fusion

Journal Articles

Flow regime and critical deposition velocity of liquid–solid two-phase flow in pipeline: Progress and perspectives

Yue Feng (冯越), Yiming Lei (雷一鸣), Meng Zheng (郑盟), Zhixuan Li (李志轩), Ning Zhao (赵宁), Jianqiang Ren (任建强), Lide Fang (方立德)

Physics of Fluids 35, 101301 (2023)

https://doi.org/10.1063/5.0172006

Published: October 2023

View article titled, Flow regime and critical deposition velocity of liquid–solid two-phase flow in pipeline: Progress and perspectives

Journal Articles

Surrogate model-based deep reinforcement learning for experimental study of active flow control of circular cylinder

Xinhui Dong (董欣辉), Hao Hong (洪昊), Xiaolong Deng (邓晓龙), Wei Zhong (钟薇), Gang Hu (胡钢)

Physics of Fluids 35, 105147 (2023)

https://doi.org/10.1063/5.0170316

Published: October 2023

View article titled, Surrogate model-based deep reinforcement learning for experimental study of active flow control of circular cylinder

Journal Articles

Flow field reconstruction in inlet of scramjet at Mach 10 based on physical information neural network

Mingming Guo (郭明明), Jialing Le (乐嘉陵), Xue Deng (邓雪), Ye Tian (田野), Yue Ma (马跃), Shuhong Tong (童书鸿), Hua Zhang (张华)

Physics of Fluids 35, 105144 (2023)

https://doi.org/10.1063/5.0170588

Published: October 2023

View article titled, Flow field reconstruction in inlet of scramjet at Mach 10 based on physical information neural network

Journal Articles

A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation

X. Wu (吴小飞), P. Gan (甘浦), J. Li (李锦熙), F. Fang, X. Zou, C. C. Pain, X. Tang (唐晓), J. Xin (辛金元), Z. Wang (王自发), J. Zhu (朱江)

Physics of Fluids 35, 106610 (2023)

https://doi.org/10.1063/5.0172020

Published: October 2023

View article titled, A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation

Journal Articles

Reynolds number effect correction of multi-fidelity aerodynamic distributions from wind tunnel and simulation data

Hua Yang, Shu-sheng Chen, Zheng-hong Gao, Quan-feng Jiang, Shi-yi Jin

Physics of Fluids 35, 103113 (2023)

https://doi.org/10.1063/5.0170578

Published: October 2023

View article titled, Reynolds number effect correction of multi-fidelity aerodynamic distributions from wind tunnel and simulation data

Journal Articles

A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations

Yang Shen (沈洋), Wei Huang (黄伟), Zhen-guo Wang (王振国), Da-fu Xu (徐大富), Chao-Yang Liu (刘朝阳)

Physics of Fluids 35, 107111 (2023)

https://doi.org/10.1063/5.0172437

Published: October 2023

View article titled, A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations

Journal Articles

Data-driven turbulence anisotropy in film and effusion cooling flows

Christopher D. Ellis, Hao Xia

Physics of Fluids 35, 105114 (2023)

https://doi.org/10.1063/5.0166685

Published: October 2023

View article titled, Data-driven turbulence anisotropy in film and effusion cooling flows

Journal Articles

An efficient framework for solving forward and inverse problems of nonlinear partial differential equations via enhanced physics-informed neural network based on adaptive learning

Yanan Guo (郭亚楠), Xiaoqun Cao (曹小群), Junqiang Song (宋君强), Hongze Leng (冷洪泽), Kecheng Peng (彭柯澄)

Physics of Fluids 35, 106603 (2023)

https://doi.org/10.1063/5.0168390

Published: October 2023

View article titled, An efficient framework for solving forward and inverse problems of nonlinear partial differential equations via enhanced physics-informed neural network based on adaptive learning

Journal Articles

Multi-physical predictions in electro-osmotic micromixer by auto-encoder physics-informed neural networks

Naiwen Chang (常乃文), Ying Huai (怀英), Tingting Liu (刘婷婷), Xi Chen (陈曦), Yuqi Jin (金玉奇)

Physics of Fluids 35, 102007 (2023)

https://doi.org/10.1063/5.0167744

Published: October 2023

View article titled, Multi-physical predictions in electro-osmotic micromixer by auto-encoder physics-informed neural networks

Journal Articles

A machine learning study to predict wind-driven water runback characteristics

Jincheng Wang, Haiyang Hu, Ping He, Hui Hu

Physics of Fluids 35, 102104 (2023)

https://doi.org/10.1063/5.0167545

Published: October 2023

View article titled, A machine learning study to predict wind-driven water runback characteristics

Journal Articles

Local turbulence generation using conditional generative adversarial networks toward Reynolds-averaged Navier–Stokes modeling

Chongyang Yan, Yufei Zhang

Physics of Fluids 35, 105102 (2023)

https://doi.org/10.1063/5.0166031

Published: October 2023

View article titled, Local turbulence generation using conditional generative adversarial networks toward Reynolds-averaged Navier–Stokes modeling

Journal Articles

Relative permeability curve prediction from digital rocks with variable sizes using deep learning

Chiyu Xie (谢驰宇), Jingwei Zhu (朱经纬), Hongen Yang (杨洪恩), Jiulong Wang (王九龙), Lin Liu (刘林), Hongqing Song (宋洪庆)

Physics of Fluids 35, 096605 (2023)

https://doi.org/10.1063/5.0167998

Published: September 2023

View article titled, Relative permeability curve prediction from digital rocks with variable sizes using deep learning

NARROW

Topics

Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder

Spatial prediction of the turbulent unsteady von Kármán vortex street using echo state networks

Convolutional neural networks for compressible turbulent flow reconstruction

Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm

Levenberg–Marquardt neural network-based intelligent computation for the non-Newtonian polymer during forward roll coating

Fast flow prediction of airfoil dynamic stall based on Fourier neural operator

A physics-informed deep learning closure for Lagrangian velocity gradient evolution

Intelligent flow field reconstruction based on proper orthogonal decomposition dimensionality reduction and improved multi-branch convolution fusion

Flow regime and critical deposition velocity of liquid–solid two-phase flow in pipeline: Progress and perspectives

Surrogate model-based deep reinforcement learning for experimental study of active flow control of circular cylinder

Flow field reconstruction in inlet of scramjet at Mach 10 based on physical information neural network

A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation

Reynolds number effect correction of multi-fidelity aerodynamic distributions from wind tunnel and simulation data

A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations

Data-driven turbulence anisotropy in film and effusion cooling flows

An efficient framework for solving forward and inverse problems of nonlinear partial differential equations via enhanced physics-informed neural network based on adaptive learning

Multi-physical predictions in electro-osmotic micromixer by auto-encoder physics-informed neural networks

A machine learning study to predict wind-driven water runback characteristics

Local turbulence generation using conditional generative adversarial networks toward Reynolds-averaged Navier–Stokes modeling

Relative permeability curve prediction from digital rocks with variable sizes using deep learning

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