Bulletin 134, March 2023

Table of Contents:

Machine Learning in Fluid Dynamics
R. P. Dwight and N. A. K. Doan

Using CNNs to Solve PDEs Coupled to CFD Solvers
E. A. Illarramendi, M. Bauerheim and B. Cuenot

Super-resolution of Observations on Dynamical Systems Using Physics-Informed Convolutional Neural Networks
D. Kelshaw, G. Rigas and L. Magri

Perspectives on Predicting and Controlling Turbulent Flows through Deep Learning
R. Vinuesa

An Old-Fashioned Framework for Machine Learning in Turbulence Modeling
P. Spalart


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