2024 journal article
A PINN-DeepONet framework for extracting turbulent combustion closure from multiscalar measurements
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 429.
2023 article
Deep Learning of Joint Scalar PDFs in Turbulent Flames from Sparse Multiscalar Data
Ranade, R., Gitushi, K. M., & Echekki, T. (2023, November 25). COMBUSTION SCIENCE AND TECHNOLOGY, Vol. 11.
2023 article
Physics-Informed Neural Networks for Turbulent Combustion: Toward Extracting More Statistics and Closure from Point Multiscalar Measurements
Taassob, A., Ranade, R., & Echekki, T. (2023, October 31). ENERGY & FUELS, Vol. 10.
2021 journal article
Algorithmically-consistent deep learning frameworks for structural topology optimization
Engineering Applications of Artificial Intelligence.
2021 journal article
DiscretizationNet: A machine-learning based solver for Navier–Stokes equations using finite volume discretization
Computer Methods in Applied Mechanics and Engineering, 378, 113722.
2021 article
Experiment-Based Modeling of Turbulent Flames with Inhomogeneous Inlets
Ranade, R., Echekki, T., & Masri, A. R. (2021, November 16). FLOW TURBULENCE AND COMBUSTION, Vol. 11.
2021 journal article
Investigation of deep learning methods for efficient high-fidelity simulations in turbulent combustion
COMBUSTION AND FLAME, 236.
2020 article
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization
(2020, May 17).
2019 article
A Framework for Data-Based Turbulent Combustion Closure: A Priori Validation
Ranade, R., & Echekki, T. (2019, May 20). Combustion and Flame, Vol. 206, pp. 490–505.
Contributors: & T. Echekki n n
2019 journal article
A framework for data-based turbulent combustion closure: A posteriori validation
Combustion and Flame, 210, 279–291.
Contributors: & T. Echekki n n
2019 journal article
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure
Combustion Science and Technology, 193(7), 1258–1277.
2019 journal article
An extended hybrid chemistry framework for complex hydrocarbon fuels
FUEL, 251, 276–284.
Contributors: , S. Alqahtani n, A. Farooq * & T. Echekki n n
2018 journal article
An ANN based hybrid chemistry framework for complex fuels
FUEL, 241, 625–636.
Contributors: , S. Alqahtani n, A. Farooq * & T. Echekki n n
Updated: July 24th, 2024 13:52
2024 - present
2019 - 2024
2018 - 2018
Updated: September 20th, 2019 23:07
2015 - 2019
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