Presenting at DDFD in London

We’re going back to London to attend EuroMech Colloquium on Data-Driven Fluid Dynamics and 2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics.

It was an inspiring conference with a focus on how ML and AI methods can address some of the most pressing issues in turbulence modelling and reduced order model construction. There were two presentations from Genova including one by Pawel on:

Estimation of inter-scale transfer rates using high-fidelity data

In this work we compared Fourier (DFT) and Proper Orthogonal Decomposition (POD) based approaches for flow decomposition and construction of a discreet turbulence energy cascade.