12 citations · 27 across the 7 of their papers we have counts for
7 papers
pyDOF: a Python library for the design of discrete forward and inverse filters
Z. Nikolaou, P. Domingo, L. Vervisch +1
In this work, we present pyDOF, a Python-based software library which provides a domain-specific framework for the design of symmetric, physical-space, forward as well as inverse d…
Advantages of the adoption of a generalized flame displacement velocity as a central element of flamelet theory
Hernan Olguin, Pascale Domingo, Luc Vervisch +2
In combustion theory, flames are usually described in terms of the dynamics of iso-surfaces of a specific scalar. The flame displacement speed is then introduced as a local variabl…
On the closure of curvature in 2D flamelet theory
Hernan Olguin, Pascale Domingo, Luc Vervisch +2
So far, flamelet theory has treated curvature as an independent parameter requiring specific means for closure. In this work, it is shown how the adoption of a two-dimensional orth…
Application of dense neural networks for manifold-based modeling of flame-wall interactions
Julian Bissantz, Jeremy Karpowski, Matthias Steinhausen +5
Artifical neural networks (ANNs) are universal approximators capable of learning any correlation between arbitrary input data with corresponding outputs, which can also be exploite…
Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear
Zacharias M. Nikolaou, Charalambos Chrysostomou, Yuki Minamoto +1
Data-driven methods for modelling purposes in fluid mechanics are a promising alternative given the continuous increase of both computational power and data-storage capabilities. H…
Modelling turbulent premixed flames using convolutional neural networks: application to sub-grid scale variance and filtered reaction rate
Zacharias M. Nikolaou, Charalambos Chrysostomou, Luc Vervisch +1
A purely data-driven approach using deep convolutional neural networks is discussed in the context of Large Eddy Simulation (LES) of turbulent premixed flames. The assessment of th…