Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks

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

(2020) Maziar Raissi et al.   SCIENCE

Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry measurements

(2020) Xiaowei Jin et al.   EXPERIMENTS IN FLUIDS

Using uncertainty to improve pressure field reconstruction from PIV/PTV flow measurements

(2020) Jiacheng Zhang et al.   EXPERIMENTS IN FLUIDS

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

(2020) Liu Yang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

(2020) Xiaowei Jin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine Learning for Fluid Mechanics

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

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Dot tracking methodology for background-oriented schlieren (BOS)

(2019) Lalit K. Rajendran et al.   EXPERIMENTS IN FLUIDS

Particle Image Velocimetry Based on a Deep Learning Motion Estimator

(2019) Shengze Cai et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Instantaneous 3D flame imaging by background-oriented schlieren tomography

(2018) Samuel J. Grauer et al.   COMBUSTION AND FLAME

Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals

(2018) Bing Pan   MEASUREMENT SCIENCE and TECHNOLOGY

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

DGM: A deep learning algorithm for solving partial differential equations

(2018) Justin Sirignano et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Experimental study of a co-flowing jet in ONERA’s F2 research wind tunnel by 3D background oriented schlieren

(2017) F Nicolas et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Performing particle image velocimetry using artificial neural networks: a proof-of-concept

(2017) Jean Rabault et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An irrotation correction on pressure gradient and orthogonal-path integration for PIV-based pressure reconstruction

(2016) Zhongyi Wang et al.   EXPERIMENTS IN FLUIDS

A direct approach for instantaneous 3D density field reconstruction from background-oriented schlieren (BOS) measurements

(2015) F. Nicolas et al.   EXPERIMENTS IN FLUIDS

Background-oriented schlieren (BOS) techniques

(2015) Markus Raffel   EXPERIMENTS IN FLUIDS

Deep learning

(2015) Yann LeCun et al.   NATURE

Temperature and velocity measurements in a fluid layer using background-oriented schlieren and PIV methods

(2012) S Tokgoz et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Density tagging velocimetry

(2011) Markus Raffel et al.   EXPERIMENTS IN FLUIDS

An evaluation of optical flow algorithms for background oriented schlieren imaging

(2008) Bradley Atcheson et al.   EXPERIMENTS IN FLUIDS

Planar laser induced fluorescence in aqueous flows

(2008) J. P. Crimaldi   EXPERIMENTS IN FLUIDS