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Journal Articles

Enhancing turbulence modeling: Machine learning for pressure-strain correlation and uncertainty quantification in the Reynolds stress model

G. Sudharsun (சுதர்சன் கோ), Hari V. Warrior (हरि वी वारियर)

Physics of Fluids 35, 125112 (2023)

https://doi.org/10.1063/5.0177438

Published: December 2023

View article titled, Enhancing turbulence modeling: Machine learning for pressure-strain correlation and uncertainty quantification in the Reynolds stress model

Journal Articles

Three-dimensional laminar flow using physics informed deep neural networks

Saykat Kumar Biswas, N. K. Anand (एन. के. आनंद)

Physics of Fluids 35, 121703 (2023)

https://doi.org/10.1063/5.0180834

Published: December 2023

View article titled, Three-dimensional laminar flow using physics informed deep neural networks

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

Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation

Hossein Ali Kamali, Mahmoud Pasandidehfard

Physics of Fluids 35, 113325 (2023)

https://doi.org/10.1063/5.0172371

Published: November 2023

View article titled, Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation

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

Reservoir closed-loop optimization method based on connection elements and data space inversion with variable controls

Wei Liu (刘伟), Yunfeng Xu (徐云峰), Xiang Rao (饶翔), Deng Liu (刘邓), Hui Zhao (赵辉)

Physics of Fluids 35, 113322 (2023)

https://doi.org/10.1063/5.0172378

Published: November 2023

View article titled, Reservoir closed-loop optimization method based on connection elements and data space inversion with variable controls

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

Experimentally trained hybrid machine learning algorithm for predicting turbulent particle-laden flows in pipes

ZhuangJian Yang (杨庄健), Kun Li (李坤), Mostafa Barigou

Physics of Fluids 35, 113309 (2023)

https://doi.org/10.1063/5.0172609

Published: November 2023

View article titled, Experimentally trained hybrid machine learning algorithm for predicting turbulent particle-laden flows in pipes

Includes: Supplementary data

Journal Articles

Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

Qianhao Xiao (肖千豪), Boyan Jiang (蒋博彦), Xiaopei Yang (杨筱沛), Yanyan Ding (丁炎炎), Jun Wang (王军)

Physics of Fluids 35, 115115 (2023)

https://doi.org/10.1063/5.0173557

Published: November 2023

View article titled, Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

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

Dynamic mode decomposition for the tip unsteady flow analysis in a counter-rotating axial compressor

Yanchao Guo (郭彦超), Limin Gao (高丽敏), Xiaochen Mao (茅晓晨), Chi Ma (马驰), Guanzhong Ma (马冠中)

Physics of Fluids 35, 116106 (2023)

https://doi.org/10.1063/5.0165437

Published: November 2023

View article titled, Dynamic mode decomposition for the tip unsteady flow analysis in a counter-rotating axial compressor

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

Stabilizing the square cylinder wake using deep reinforcement learning for different jet locations

Lei Yan (严雷), Yuerong Li (栗悦荣), Gang Hu (胡钢), Wen-li Chen (陈文礼), Wei Zhong (钟薇), Bernd R. Noack

Physics of Fluids 35, 115104 (2023)

https://doi.org/10.1063/5.0171188

Published: November 2023

View article titled, Stabilizing the square cylinder wake using deep reinforcement learning for different jet locations

Journal Articles

A data-driven model to determine the infiltration characteristics of air curtains at building entrances

Linye Song (宋林烨), Cong Zhang (张聪), Jing Hua (华靖), Kaijun Li (李凯军), Wei Xu (徐伟), Xinghui Zhang (张兴惠), Chengchuan Duan (段成川)

Physics of Fluids 35, 117103 (2023)

https://doi.org/10.1063/5.0173678

Published: November 2023

View article titled, A data-driven model to determine the infiltration characteristics of air curtains at building entrances

Journal Articles

Improvement of the algebraic stress model for separated flows based on field inversion and machine learning

Chen Yi (易琛), Denggao Tang (唐登高), Fanzhi Zeng (曾繁治), Yao Li (郦垚), Chao Yan (闫超)

Physics of Fluids 35, 115101 (2023)

https://doi.org/10.1063/5.0174257

Published: November 2023

View article titled, Improvement of the algebraic stress model for separated flows based on field inversion and machine learning

Journal Articles

Deep learning dynamical latencies for the analysis and reduction of combustion chemistry kinetics

Luisa Castellanos, Rodolfo S. M. Freitas, Alessandro Parente, Francesco Contino

Physics of Fluids 35, 107143 (2023)

https://doi.org/10.1063/5.0167110

Published: October 2023

View article titled, Deep learning dynamical latencies for the analysis and reduction of combustion chemistry kinetics

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

Reinforcement learning-based active flow control of oscillating cylinder for drag reduction

Haokui Jiang, Shunxiang Cao

Physics of Fluids 35, 107140 (2023)

https://doi.org/10.1063/5.0172081

Published: October 2023

View article titled, Reinforcement learning-based active flow control of oscillating cylinder for drag reduction

NARROW

Topics

Enhancing turbulence modeling: Machine learning for pressure-strain correlation and uncertainty quantification in the Reynolds stress model

Three-dimensional laminar flow using physics informed deep neural networks

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

Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation

Convolutional neural networks for compressible turbulent flow reconstruction

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

Reservoir closed-loop optimization method based on connection elements and data space inversion with variable controls

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

Experimentally trained hybrid machine learning algorithm for predicting turbulent particle-laden flows in pipes

Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

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

Dynamic mode decomposition for the tip unsteady flow analysis in a counter-rotating axial compressor

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

Stabilizing the square cylinder wake using deep reinforcement learning for different jet locations

A data-driven model to determine the infiltration characteristics of air curtains at building entrances

Improvement of the algebraic stress model for separated flows based on field inversion and machine learning

Deep learning dynamical latencies for the analysis and reduction of combustion chemistry kinetics

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

Reinforcement learning-based active flow control of oscillating cylinder for drag reduction

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