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20232026
most citedPhysics-informed neural network to augment experimental data: an application to stratified flows

1 citations · 1 across the 4 of their papers we have counts for

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physics.flu-dyn2026

A neural network architecture and training algorithm to predict viscoelastic stresses from vortical data

Lu Zhu, Jacob Page

Numerical simulations of elastic turbulence in parallel shear flows of polymer solutions indicate that the phenomena is associated with the formation and instability of exact coher…

physics.flu-dyn2026

Learning dynamically consistent flow reconstructions from limited observations

Lu Zhu, Jacob Page

A core inverse problem in the experimental sciences is the inference of a hidden dynamical state from sparse or indirect measurements. There is a natural opportunity for deep learn…

physics.flu-dyn2026

Significant heat transfer enhancement via polymer additives in two-dimensional sheared convection

Guanhan Li, Lu Zhu, Rich. R. Kerswell

Heat dissipation is critical in modern engineering systems. Polymer additives offer a potential route to improve fluid-based cooling. Here, we study elasticity-enhanced heat transf…

physics.flu-dyn2024

Early turbulence in viscoelastic flow past a periodic cylinder array

Lu Zhu, Rich R. Kerswell

Early turbulence in periodic cylinder arrays is of particular interest in many practical applications to enhance mixing and material/heat exchange. In this study, we reveal a new e…

physics.flu-dyn20231 cited

Physics-informed neural network to augment experimental data: an application to stratified flows

Lu Zhu, Xianyang Jiang, Adrien Lefauve +2

We develop a physics-informed neural network (PINN) to significantly augment state-of-the-art experimental data and apply it to stratified flows. The PINN is a fully-connected deep…

physics.flu-dyn2023

Geometry of stratified turbulent mixing: local alignment of the density gradient with rotation, shear and viscous dissipation

Xianyang Jiang, Amir Atoufi, Lu Zhu +4

We introduce a geometric analysis of turbulent mixing in density-stratified flows based on the alignment of the density gradient in two orthogonal bases that are locally constructe…