Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks.

Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows.

Towards quantum computing of turbulence.

Generalization techniques of neural networks for fluid flow estimation.

Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems.

Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows.

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning.

Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression.