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Main Authors:	Oura, Tomoya, Miura, Reno, Fukagata, Koji
Format:	Preprint
Published:	2023
Subjects:	Fluid Dynamics
Online Access:	https://arxiv.org/abs/2311.08754
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Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control
by: Fukagata, Koji, et al.
Published: (2025)

Flow control by a hybrid use of machine learning and control theory
by: Ishize, Takeru, et al.
Published: (2023)

Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks
by: Matsuo, Mitsuaki, et al.
Published: (2021)

Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealer
by: Takagi, Kenichiro, et al.
Published: (2024)

An efficient offline sensor placement method for flow estimation
by: Chen, Junwei, et al.
Published: (2025)

Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
by: Hou, Chang, et al.
Published: (2024)

Some effects of limited wall-sensor availability on flow estimation with 3D-GANs
by: Cuéllar, Antonio, et al.
Published: (2024)

Advanced representation learning for flow field analysis and reconstruction
by: Wang, Yikai, et al.
Published: (2025)

Machine-learning-based simulation of turbulent flows over periodic hills using a hybrid U-Net and Fourier neural operator framework
by: Wang, Yunpeng, et al.
Published: (2025)

Hot-wire based estimation of pressure fluctuations in the near field of a jet in the presence of a co-flow
by: Bychkov, O. P., et al.
Published: (2024)

TrajectoryFlowNet: Lagrangian-Eulerian learning of flow field and trajectories
by: Wan, Jingdi, et al.
Published: (2025)

Prediction of turbulent channel flow using Fourier neural operator-based machine-learning strategy
by: Wang, Yunpeng, et al.
Published: (2024)

Quantum reinforcement learning-based active flow control
by: Zhang, Hongfu, et al.
Published: (2026)

Evaporation-induced freezing dynamics of droplets levitated in acoustic field
by: Mitsuno, Misaki, et al.
Published: (2025)

Model-based time super-sampling of turbulent flow field sequences
by: Li-Hu, Qihong Lorena, et al.
Published: (2025)

Nonlinear estimation in turbulent channel flows
by: Ding, Jitong, et al.
Published: (2024)

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers
by: Zhou, Zisong, et al.
Published: (2025)

On the joint estimation of flow fields and particle properties from Lagrangian data
by: Zhou, Ke, et al.
Published: (2025)

Machine-learning wall model of large-eddy simulation for low- and high-speed flows over rough surfaces
by: Ma, Rong, et al.
Published: (2026)

Advection-based multiframe iterative correction for pressure estimation from velocity fields
by: Chen, Junwei, et al.
Published: (2025)

On the estimation of specific interfacial areas in aerated flows
by: Kramer, Matthias
Published: (2025)

An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows
by: Franceschelli, Luca, et al.
Published: (2024)

Hybrid LES/RANS for flows including separation: A new wall function using Machine Learning based on binary search trees
by: Davidson, Lars
Published: (2024)

Deep reinforcement learning based navigation of a jellyfish-like swimmer in flows with obstacles
by: Chen, Yihao, et al.
Published: (2025)

Observer-based neural networks for flow estimation and control
by: Déda, Tarcísio C., et al.
Published: (2025)

Transfer learning strategies for accelerating reinforcement-learning-based flow control
by: Salehi, Saeed
Published: (2025)

Forecasting the evolution of three-dimensional turbulent recirculating flows from sparse sensor data
by: Papadakis, George, et al.
Published: (2025)

Inferring activity from the flow field around active colloidal particles using deep learning
by: Mohapatra, Aditya, et al.
Published: (2025)

Reconstruction and fast prediction of a 3D flow field based on a variational autoencoder
by: Liu, Gongyan, et al.
Published: (2023)

Phase-field-based lattice Boltzmann method for the transport of insoluble surfactant in two-phase flows
by: Zhan, Chengjie, et al.
Published: (2024)

Suppressing instabilities in mixed baroclinic flow using an actuation based on receptivity
by: Kumar, Abhishek, et al.
Published: (2023)

Analysis on the mechanical jamming of particle flow using impeller-based rheometer
by: Xuan, Wenbin, et al.
Published: (2025)

Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
by: Duan, Junming, et al.
Published: (2023)

Theoretical estimate and characteristics of electro-vortex flows in cylindrical electrodes
by: Soni, Swapnil, et al.
Published: (2025)

Slip length estimation for flow over lubricant-impregnated surface
by: Goyal, Vishal, et al.
Published: (2025)

Two-phase flow in porous metal foam flow fields of PEM fuel cells
by: Tao, Xingxiao, et al.
Published: (2025)

A sensor-restrained artificial shear diffusivity for large-eddy simulations of vortex-dominated compressible flows
by: Ribeiro, Jean Hélder Marques, et al.
Published: (2025)

Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress
by: Hardy, Baptiste, et al.
Published: (2023)

Reconstruction of instantaneous flow fields from transient velocity snapshots using physics-informed neural networks: Applications to pulsatile blood flow behind a stenosis
by: Ueda, Kakeru, et al.
Published: (2026)

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