Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data

Modal Analysis of Fluid Flow: Introduction to the Virtual Collection

(2020) Kunihiko Taira et al.   AIAA JOURNAL

Deep learning methods for super-resolution reconstruction of turbulent flows

(2020) Bo Liu et al.   PHYSICS OF FLUIDS

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Assessment of supervised machine learning methods for fluid flows

(2020) Kai Fukami et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Time-series learning of latent-space dynamics for reduced-order model closure

(2020) Romit Maulik et al.   PHYSICA D-NONLINEAR PHENOMENA

Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil

(2020) S. Ashwin Renganathan et al.   PHYSICS OF FLUIDS

Data-driven recovery of hidden physics in reduced order modeling of fluid flows

(2020) Suraj Pawar et al.   PHYSICS OF FLUIDS

Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes

(2020) Kazuto Hasegawa et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Leveraging reduced-order models for state estimation using deep learning

(2020) Nirmal J. Nair et al.   JOURNAL OF FLUID MECHANICS

Special issue on machine learning and data-driven methods in fluid dynamics

(2020) Steven L. Brunton et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

A novel method of low-dimensional representation for temporal behavior of flow fields using deep autoencoder

(2019) Noriyasu Omata et al.   AIP Advances

Spatio-temporal proper orthogonal decomposition of turbulent channel flow

(2019) Srikanth Derebail Muralidhar et al.   JOURNAL OF FLUID MECHANICS

Multi-scale proper orthogonal decomposition of complex fluid flows

(2019) M. A. Mendez et al.   JOURNAL OF FLUID MECHANICS

Super-resolution reconstruction of turbulent flows with machine learning

(2019) Kai Fukami et al.   JOURNAL OF FLUID MECHANICS

Fast flow field prediction over airfoils using deep learning approach

(2019) Vinothkumar Sekar et al.   PHYSICS OF FLUIDS

Predictions of turbulent shear flows using deep neural networks

(2019) P. A. Srinivasan et al.   Physical Review Fluids

Synthetic turbulent inflow generator using machine learning

(2019) Kai Fukami et al.   Physical Review Fluids

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Data-driven prediction of unsteady flow over a circular cylinder using deep learning

(2019) Sangseung Lee et al.   JOURNAL OF FLUID MECHANICS

A deep learning enabler for nonintrusive reduced order modeling of fluid flows

(2019) S. Pawar et al.   PHYSICS OF FLUIDS

Modal Analysis of Fluid Flows: Applications and Outlook

(2019) Kunihiko Taira et al.   AIAA JOURNAL

Nonlinear mode decomposition with convolutional neural networks for fluid dynamics

(2019) Takaaki Murata et al.   JOURNAL OF FLUID MECHANICS

Prediction of turbulent heat transfer using convolutional neural networks

(2019) Junhyuk Kim et al.   JOURNAL OF FLUID MECHANICS

Sensing the turbulent large-scale motions with their wall signature

(2019) A. Güemes et al.   PHYSICS OF FLUIDS

Inversion and reconstruction of supersonic cascade passage flow field based on a model comprising transposed network and residual network

(2019) Yunfei Li et al.   PHYSICS OF FLUIDS

Data-driven discovery of coordinates and governing equations

(2019) Kathleen Champion et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Perspective on machine learning for advancing fluid mechanics

(2019) M. P. Brenner et al.   Physical Review Fluids

Sparse reduced-order modelling: sensor-based dynamics to full-state estimation

(2018) Jean-Christophe Loiseau et al.   JOURNAL OF FLUID MECHANICS

Phase-response analysis of synchronization for periodic flows

(2018) Kunihiko Taira et al.   JOURNAL OF FLUID MECHANICS

Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis

(2018) Aaron Towne et al.   JOURNAL OF FLUID MECHANICS

Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

(2018) Xiaowei Jin et al.   PHYSICS OF FLUIDS

Core-pressure alleviation for a wall-normal vortex by active flow control

(2018) Qiong Liu et al.   JOURNAL OF FLUID MECHANICS

Deep learning for universal linear embeddings of nonlinear dynamics

(2018) Bethany Lusch et al.   Nature Communications

Application of the dynamic mode decomposition to experimental data

(2011) Peter J. Schmid   EXPERIMENTS IN FLUIDS

Dynamic mode decomposition of numerical and experimental data

(2010) PETER J. SCHMID   JOURNAL OF FLUID MECHANICS

A critical-layer framework for turbulent pipe flow

(2010) B. J. McKEON et al.   JOURNAL OF FLUID MECHANICS