Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

LES using artificial neural networks for chemistry representation

From MaRDI portal
Publication:979515
Jump to:navigation, search

DOI10.1504/PCFD.2005.007424zbMath1189.76312OpenAlexW2146068414MaRDI QIDQ979515

Johannes Janicka, Felix Flemming, Amsini Sadiki

Publication date: 28 June 2010

Published in: Progress in Computational Fluid Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1504/pcfd.2005.007424


zbMATH Keywords

turbulent reactive flowsartificial neural networksturbulent combustionmulti-layer perceptronslarge-eddy simulationsubgrid stressesturbulent non-premixed combustionadvanced chemistry modelsANNschemistry representationsteady flamelets


Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Direct numerical and large eddy simulation of turbulence (76F65) Combustion (80A25) Reaction effects in flows (76V05)


Related Items (2)

Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems ⋮ Using self-similar properties of turbulent premixed flames to downsize chemical tables in high-performance numerical simulations







This page was built for publication: LES using artificial neural networks for chemistry representation

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:979515&oldid=12969608"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
This page was last edited on 30 January 2024, at 20:04.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki