Tarek Echekki

According to our database, Tarek Echekki authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows.

Bruno S. Soriano, Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

CoRR, 2024

2023

Transfer learning for predicting source terms of principal component transport in chemically reactive flow.

Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

CoRR, 2023

A Framework for Combustion Chemistry Acceleration with DeepONets.

Anuj Kumar, Tarek Echekki

CoRR, 2023

2021

Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet.

Rishikesh Ranade, Kevin Gitushi, Tarek Echekki

CoRR, 2021

2020

An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure.

Rishikesh Ranade, Genong Li, Shaoping Li, Tarek Echekki

CoRR, 2020