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Classroom Contents
Towards Data-Driven High Fidelity CFD - Lecture 1
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- 1 Introduction
- 2 Slides
- 3 Shock droplet interaction
- 4 Icing
- 5 Multiscale
- 6 Overview
- 7 Highorder schemes
- 8 Dispersion analysis
- 9 Information efficiency
- 10 DG schemes
- 11 DG schemes derivation
- 12 Nonlinear stability
- 13 DG method
- 14 Flexibility
- 15 Nonsmooth solutions
- 16 Convex solution
- 17 Shock capturing
- 18 Space and time
- 19 Dynamic load balancing
- 20 Flexi
- 21 Scale
- 22 Fair
- 23 Compiling from file
- 24 Full work stack
- 25 Data tracking
- 26 Reproducible
- 27 Priori
- 28 Supervised Learning
- 29 Controversy
- 30 Scientific Machine Learning
- 31 Predictions
- 32 Machine Learning CFD
- 33 Formulations
- 34 Data compression
