activity
20182021
most citedFlow over an espresso cup: Inferring 3D velocity and pressure fields from tomographic background oriented schlieren videos via physics-informed neural networks

349 citations · 421 across the 2 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn202172 cited

Physics-informed neural networks (PINNs) for fluid mechanics: A review

Shengze Cai, Zhiping Mao, Zhicheng Wang +2

Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier-Stokes equations (NSE), we still cannot incorporate…

physics.flu-dyn2021349 cited

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

Shengze Cai, Zhicheng Wang, Frederik Fuest +3

Tomographic background oriented schlieren (Tomo-BOS) imaging measures density or temperature fields in 3D using multiple camera BOS projections, and is particularly useful for inst…

physics.flu-dyn2020

A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers

Xuhui Meng, Zhicheng Wang, Dixia Fan +2

We develop a fast multi-fidelity modeling method for very complex correlations between high- and low-fidelity data by working in modal space to extract the proper correlation funct…

physics.comp-ph2020

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks

Shengze Cai, Zhicheng Wang, Lu Lu +2

Electroconvection is a multiphysics problem involving coupling of the flow field with the electric field as well as the cation and anion concentration fields. For small Debye lengt…

physics.comp-ph2020

Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows

Lifei Zhao, Zhen Li, Zhicheng Wang +3

Active- and transfer-learning are applied to polymer flows for the multiscale discovery of effective constitutive approximations required in viscoelastic flow simulation. The resul…

physics.flu-dyn2018

Deep Learning of Vortex Induced Vibrations

Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1

Vortex induced vibrations of bluff bodies occur when the vortex shedding frequency is close to the natural frequency of the structure. Of interest is the prediction of the lift and…