20 citations · 25 across the 3 of their papers we have counts for
4 papers
Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron
Nilam Tathawadekar, Nguyen Anh Khoa Doan, Camilo F. Silva +1
This paper demonstrates the ability of neural networks to reliably learn the nonlinear flame response of a laminar premixed flame, while carrying out only one unsteady CFD simulati…
Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
We propose a physics-constrained machine learning method-based on reservoir computing- to time-accurately predict extreme events and long-term velocity statistics in a model of tur…
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
We extend the Physics-Informed Echo State Network (PI-ESN) framework to reconstruct the evolution of an unmeasured state (hidden state) in a chaotic system. The PI-ESN is trained b…
A physics-aware machine to predict extreme events in turbulence
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
We propose a physics-aware machine learning method to time-accurately predict extreme events in a turbulent flow. The method combines two radically different approaches: empirical…