A-priori Energy-Biased Training for the Prediction of Closure Terms of the VMS Navier-Stokes Equations - View source for Bettini Hulshoff 2024a - Scipedia

9th European Congress on Computational Methods in Applied Sciences and Engineering

A. Bettini, S. Hulshoff

You do not have permission to edit this page, for the following reason:

You are not allowed to execute the action you have requested.

You can view and copy the source of this page.

                                
==Abstract==

Download

Return to Bettini Hulshoff 2024a.

Back to Top

Document information

Published on 29/10/24
Submitted on 29/10/24

Volume Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics, 2024
DOI: 10.23967/eccomas.2024.165
Licence: CC BY-NC-SA license

Share this document

Keywords

Multilayer Perceptron (MLP) • Machine Learning (ML) • Augmented Lagrangian Method • Variational Multiscale (VMS)

claim authorship

Are you one of the authors of this document?