Working area(s)
Machine Learning of reduced-order models for combustion chemistry
Contact
eckel@stfs.tu-...
Work
L1|01 286
Otto-Berndt-Str. 2
64287
Darmstadt
- Method development for combustion modeling with artificial neural networks
- Efficient coupling of neural network-based models to reactive flow simulations on heterogeneous architectures
- Physically consistent model predictions
- Research Projects: NHR4CES
- Reduced order modeling
- Physics-augmented machine learning
- Deep learning for combustion closure
