Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames von Owoyele, Opeoluwa, Kundu, Prithwish, Ameen, Muhsin M, Echekki, Tarek, Som, Sibendu

Volltext

Comparisons of Different Representative Species Selection Schemes for Reduced-Order Modeling and Chemistry Acceleration of Complex Hydrocarbon Fuels von Gitushi, Kevin M., Echekki, Tarek

Volltext

Thermal radiation modeling using the LES–ODT framework for turbulent combustion flows von Ben Rejeb, Sami, Echekki, Tarek

Volltext

A Data-Based Hybrid Chemistry Acceleration Framework for the Low-Temperature Oxidation of Complex Fuels von Alqahtani, Sultan, Gitushi, Kevin M., Echekki, Tarek

Volltext

A numerical study of backdraft phenomena under normal and reduced gravity von Ashok, Shreyas G., Echekki, Tarek

Volltext

Experiment-Based Modeling of Turbulent Flames with Inhomogeneous Inlets von Ranade, Rishikesh, Echekki, Tarek, Masri, Assaad R.

Volltext

A framework for data-based turbulent combustion closure: A posteriori validation von Ranade, Rishikesh, Echekki, Tarek

Volltext

Combustion chemistry acceleration with DeepONets von Kumar, Anuj, Echekki, Tarek

Volltext

A data-based hybrid model for complex fuel chemistry acceleration at high temperatures von Alqahtani, Sultan, Echekki, Tarek

Volltext

A framework for data-based turbulent combustion closure: A priori validation von Ranade, Rishikesh, Echekki, Tarek

Volltext

Derived scalar statistics from multiscalar measurements via surrogate composition spaces von Taassob, Arsalan, Echekki, Tarek

Volltext

Direct numerical simulation of autoignition in non-homogeneous hydrogen-air mixtures von Echekki, Tarek, Chen, Jacqueline H

Volltext

Principal component transport in turbulent combustion: A posteriori analysis von Echekki, Tarek, Mirgolbabaei, Hessam

Volltext

Asymptotic analysis of steady two-reactant premixed flames using a step-function reaction rate model von Echekki, Tarek

Volltext

In the rain with and without an umbrella? The Reynolds transport theorem to the rescue von Echekki, Tarek

Volltext

Nonlinear reduction of combustion composition space with kernel principal component analysis von Mirgolbabaei, Hessam, Echekki, Tarek

Volltext

Toward computationally efficient combustion DNS with complex fuels via principal component transport von Owoyele, Opeoluwa, Echekki, Tarek

Volltext

The reconstruction of thermo-chemical scalars in combustion from a reduced set of their principal components von Mirgolbabaei, Hessam, Echekki, Tarek

Volltext

A novel principal component analysis-based acceleration scheme for LES–ODT: An a priori study von Mirgolbabaei, Hessam, Echekki, Tarek

Volltext

Physics-Informed Neural Networks for Turbulent Combustion: Toward Extracting More Statistics and Closure from Point Multiscalar Measurements von Taassob, Arsalan, Ranade, Rishikesh, Echekki, Tarek

Volltext