Improving the accuracy and scalability of large-scale physics-based data-driven reduced modeling via domain decomposition.
Ionut-Gabriel FarcasRayomand P. GundeviaRamakanth MunipalliKaren E. WillcoxPublished in: CoRR (2023)
Keyphrases
- data driven
- high scalability
- high accuracy
- small scale
- domain specific
- model driven
- error rate
- domain independent
- prediction accuracy
- classification accuracy
- precision and recall
- real life
- computational cost
- physical processes
- decomposition method
- fault tolerance
- highly accurate
- data mining
- physical models
- modeling framework
- case study
- cross domain
- computational efficiency
- database
- domain knowledge
- knowledge acquisition