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Journal Articles

Fast and accurate prediction of flow in multi-row cascade based on combined neural networks

Yijun Mao (毛义军), Kang Cheng (程康), Chen Xu (徐辰), Min Liu (刘敏), Lei Shi (石磊), Yongqi Zhang (张勇奇)

Physics of Fluids 37, 015222 (2025)

https://doi.org/10.1063/5.0248870

Published: January 2025

View article titled, Fast and accurate prediction of flow in multi-row cascade based on combined neural networks

Journal Articles

Physics-assisted multi-scale convolutional autoencoder for turbulence reduced-order modeling

Mengxue Lu (卢梦雪), Zi Ye (叶子), Longye Qiao (乔龙野), Hui Xu (徐辉), Yan Zhang (张燕), Xinlong Feng (冯新龙)

Physics of Fluids 37, 015216 (2025)

https://doi.org/10.1063/5.0248929

Published: January 2025

View article titled, Physics-assisted multi-scale convolutional autoencoder for turbulence reduced-order modeling

Journal Articles

Physics-informed graph neural network based on the finite volume method for steady incompressible laminar convective heat transfer

Haiming Zhang (张海明), Xinlin Xia (夏新林), Ze Wu (吴泽), Xiaolei Li (李潇磊)

Physics of Fluids 37, 013625 (2025)

https://doi.org/10.1063/5.0250663

Published: January 2025

View article titled, Physics-informed graph neural network based on the finite volume method for steady incompressible laminar convective heat transfer

Journal Articles

Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics

Filippos Sofos (Φíλιππος Σοϕός), Dimitris Drikakis (Δημήτρης Δρικάκης), Ioannis William Kokkinakis (Ιωάννης Κοκκινάκης)

Physics of Fluids 37, 015206 (2025)

https://doi.org/10.1063/5.0250478

Published: January 2025

View article titled, Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics

Journal Articles

AutoTurb: Using large language models for automatic algebraic turbulence model discovery

Yu Zhang (张瑜), Kefeng Zheng (郑可风), Fei Liu (柳斐), Qingfu Zhang (张青富), Zhenkun Wang (王振坤)

Physics of Fluids 37, 015211 (2025)

https://doi.org/10.1063/5.0247759

Published: January 2025

View article titled, AutoTurb: Using large language models for automatic algebraic turbulence model discovery

Journal Articles

Spatiotemporal reconstruction of unsteady bridge flow field via hierarchical graph neural networks with causal attention

Chenzhi Cai (蔡陈之), Jun Xiao (肖军), Yunfeng Zou (邹云峰), Xuhui He (何旭辉)

Physics of Fluids 37, 013621 (2025)

https://doi.org/10.1063/5.0247905

Published: January 2025

View article titled, Spatiotemporal reconstruction of unsteady bridge flow field via hierarchical graph neural networks with causal attention

Journal Articles

Predicting self-diffusion coefficients of small molecular fluids using machine learning and the statistical associating fluid theory for Mie segments

Justinas Šlepavičius, Alessandro Patti, Carlos Avendaño

Physics of Fluids 37, 017129 (2025)

https://doi.org/10.1063/5.0242992

Published: January 2025

View article titled, Predicting self-diffusion coefficients of small molecular fluids using machine learning and the statistical associating fluid theory for Mie segments

Journal Articles

Flame structure reconstruction in a supersonic combustor based on lightweight contextual encoding coordinate attention network

Bangzhuo An (安邦卓), Jiawen Deng (邓佳雯), Maotao Yang (杨茂桃), Ye Tian (田野), Hua Zhang (张华)

Physics of Fluids 37, 015195 (2025)

https://doi.org/10.1063/5.0250138

Published: January 2025

View article titled, Flame structure reconstruction in a supersonic combustor based on lightweight contextual encoding coordinate attention network

Journal Articles

High performance neural network for solving coronary artery flow velocity field based on fluid component concentration

Physics of Fluids 37, 011910 (2025)

https://doi.org/10.1063/5.0244812

Published: January 2025

View article titled, High performance neural network for solving coronary artery flow velocity field based on fluid component concentration

Journal Articles

Fluid identification in geological exploration using transformer models and deep reinforcement learning

Wenjing Yin, Hengxiao Li, Zhiyuan Zhao, Sibo Qiao

Physics of Fluids 37, 016614 (2025)

https://doi.org/10.1063/5.0248592

Published: January 2025

View article titled, Fluid identification in geological exploration using transformer models and deep reinforcement learning

Journal Articles

Time-resolved deep reinforcement learning for control of the flow past an airfoil

Kaiyu Li (励凯宇), Zhiquan Liang (梁志铨), Hao Fan (樊昊), Wenkai Liang (梁文恺)

Physics of Fluids 37, 017118 (2025)

https://doi.org/10.1063/5.0245111

Published: January 2025

View article titled, Time-resolved deep reinforcement learning for control of the flow past an airfoil

Journal Articles

An efficient prediction and historical matching method for reservoir dynamics using advanced attention-based vision transformer

Wenbo Liu, Yingzhu Guan, Xue Yan, Siqi He, Mengyuan Jiang, Jingya Gong, Cheng Chang, Xuyang Shen, Yurong Liu, Guangming Zhang

Physics of Fluids 37, 016613 (2025)

https://doi.org/10.1063/5.0246235

Published: January 2025

View article titled, An efficient prediction and historical matching method for reservoir dynamics using advanced attention-based vision transformer

Journal Articles

Generalizing morphologies in dam break simulations using transformer model

Zhaoyang Mu (牟昭阳), Aoming Liang (梁敖铭), Mingming Ge (葛明明), Dashuai Chen (陈大帅), Dixia Fan (范迪夏), Minyi Xu (徐敏义)

Physics of Fluids 37, 016612 (2025)

https://doi.org/10.1063/5.0245680

Published: January 2025

View article titled, Generalizing morphologies in dam break simulations using transformer model

Journal Articles

A framework of parallel physics-informed neural network with Laplace transform for well testing interpretation

Dongyan Fan (樊冬艳), Can Yang (杨灿), Hai Sun (孙海), Jun Yao (姚军), Lei Zhang (张磊), Cunqi Jia (贾存奇), Shuaishi Fu (付帅师), Qian Sang (桑茜)

Physics of Fluids 37, 014114 (2025)

https://doi.org/10.1063/5.0245547

Published: January 2025

View article titled, A framework of parallel physics-informed neural network with Laplace transform for well testing interpretation

Journal Articles

Deep reinforcement learning-based jet control for tandem cylinders

Xian-Jun He (何贤军), Jiang-Liu Huang (黄江流), Ming-Yu Wu (吴明雨), Chun Zheng (郑纯), Zhi-Hua Chen (陈志华)

Physics of Fluids 37, 013616 (2025)

https://doi.org/10.1063/5.0242918

Published: January 2025

View article titled, Deep reinforcement learning-based jet control for tandem cylinders

Journal Articles

Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis

Boda Zheng (郑博达), Weigang Yao (姚伟刚), Min Xu (徐敏)

Physics of Fluids 37, 015172 (2025)

https://doi.org/10.1063/5.0249263

Published: January 2025

View article titled, Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis

Journal Articles

A high heat transfer performance of inclined rib mini-channel heat sink designed by machine learning and laser powder bed fusion

Weicheng Wang (王为成), Haihong Zhu (朱海红), Wenqi Zhang (张文奇), Zhongxu Xiao (肖中旭)

Physics of Fluids 37, 012009 (2025)

https://doi.org/10.1063/5.0247582

Published: January 2025

View article titled, A high heat transfer performance of inclined rib mini-channel heat sink designed by machine learning and laser powder bed fusion

Journal Articles

Predicting and analyzing the three-dimensional spatiotemporal evolution process of tidal currents by using a brand new machine learning algorithm

Xinyu Huang (黄心裕), Jun Tang (唐军), Yongming Shen (沈永明), Chenhao Zhang (张宸浩)

Physics of Fluids 37, 016609 (2025)

https://doi.org/10.1063/5.0249244

Published: January 2025

View article titled, Predicting and analyzing the three-dimensional spatiotemporal evolution process of tidal currents by using a brand new machine learning algorithm

Journal Articles

DeepONet-embedded physics-informed neural network for production prediction of multiscale shale matrix–fracture system

JiaXuan Chen, Hao Yu, Bo Li, HouLin Zhang, Xu Jin, SiWei Meng, He Liu, HengAn Wu

Physics of Fluids 37, 016608 (2025)

https://doi.org/10.1063/5.0245212

Published: January 2025

View article titled, DeepONet-embedded physics-informed neural network for production prediction of multiscale shale matrix–fracture system

Journal Articles

Comprehensive deep learning for combustion chemistry integration: Multi-fuel generalization and a posteriori validation in reacting flow

Han Li (李晗), Ruixin Yang (杨瑞鑫), Yangchen Xu (徐阳晨), Min Zhang (张敏), Runze Mao (毛润泽), Zhi X. Chen (陈帜)

Physics of Fluids 37, 015162 (2025)

https://doi.org/10.1063/5.0248582

Published: January 2025

View article titled, Comprehensive deep learning for combustion chemistry integration: Multi-fuel generalization and <em>a posteriori</em> validation in reacting flow

NARROW

Topics

Fast and accurate prediction of flow in multi-row cascade based on combined neural networks

Physics-assisted multi-scale convolutional autoencoder for turbulence reduced-order modeling

Physics-informed graph neural network based on the finite volume method for steady incompressible laminar convective heat transfer

Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics

AutoTurb: Using large language models for automatic algebraic turbulence model discovery

Spatiotemporal reconstruction of unsteady bridge flow field via hierarchical graph neural networks with causal attention

Predicting self-diffusion coefficients of small molecular fluids using machine learning and the statistical associating fluid theory for Mie segments

Flame structure reconstruction in a supersonic combustor based on lightweight contextual encoding coordinate attention network

High performance neural network for solving coronary artery flow velocity field based on fluid component concentration

Fluid identification in geological exploration using transformer models and deep reinforcement learning

Time-resolved deep reinforcement learning for control of the flow past an airfoil

An efficient prediction and historical matching method for reservoir dynamics using advanced attention-based vision transformer

Generalizing morphologies in dam break simulations using transformer model

A framework of parallel physics-informed neural network with Laplace transform for well testing interpretation

Deep reinforcement learning-based jet control for tandem cylinders

Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis

A high heat transfer performance of inclined rib mini-channel heat sink designed by machine learning and laser powder bed fusion

Predicting and analyzing the three-dimensional spatiotemporal evolution process of tidal currents by using a brand new machine learning algorithm

DeepONet-embedded physics-informed neural network for production prediction of multiscale shale matrix–fracture system

Comprehensive deep learning for combustion chemistry integration: Multi-fuel generalization and a posteriori validation in reacting flow

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