Auto-Encoded Reservoir Computing for Turbulence Learning
Computational Science – ICCS 2021
Springer International Publishing
2021
Predicting turbulent dynamics with the convolutional autoencoder echo state network
Journal of Fluid Mechanics
2023
975
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence
Computational Science – ICCS 2023
Springer Nature Switzerland
2023
Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation
Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Springer International Publishing
2020
An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion
Proceedings of the Combustion Institute
2021
38
4
5403-5414
Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron
Proceedings of the Combustion Institute
2021
38
4
6261-6269
Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis
Proceedings of the Combustion Institute
2021
38
4
5415-5422
Chaotic systems learning with hybrid echo state network/proper orthogonal decomposition based model
Data-Centric Engineering
2021
2
A Hybrid Adjoint Network Model for Thermoacoustic Optimization
Journal of Engineering for Gas Turbines and Power
2022
144
3