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References from Machine learning for integrating combustion chemistry in numerical simulations. Local targets link to admitted publications; unresolved targets remain external evidence.
A data-based hybrid model for complex fuel chemistry acceleration at high temperatures
10.1016/j.combustflame.2020.09.022 · 2021 · External reference
K-means++: The Advantages of Careful Seeding
2006 · External reference
Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications
10.1016/j.compchemeng.2018.09.022 · 2019 · External reference
Premixed flame-wall interaction in a narrow channel: Impact of wall thermal conductivity and heat losses
10.1017/jfm.2018.681 · 2018 · External reference
Vitiated high Karlovitz n-decane/air turbulent flames: Scaling laws and micro-mixing modeling analysis
10.1007/s10494-018-9946-y · 2019 · External reference
On-the-fly artificial neural network for chemical kinetics in direct numerical simulations of premixed combustion
10.1016/j.combustflame.2020.12.038 · 2021 · External reference
Adaptive chemistry via pre-partitioning of composition space and mechanism reduction
10.1016/j.combustflame.2019.09.010 · 2020 · External reference
Automatic reduction and optimisation of chemistry for turbulent combustion modelling: impact of the canonical problem
10.1016/j.combustflame.2016.08.030 · 2017 · External reference
Unresolved reference
2011 · External reference
Dimension reduction by local principal component analysis
10.1162/neco.1997.9.7.1493 · 1997 · External reference
A skeletal mechanism for the reactive flow simulation of methane combustion
2013 · External reference
Selective non-catalytic reduction (SNCR) of nitrogen oxide emissions: a perspective from numerical modeling
10.1007/s10494-017-9842-x · 2018 · External reference
A directed relation graph method for mechanism reduction
10.1016/j.proci.2004.08.145 · 2005 · External reference
Strategies for mechanism reduction for large hydrocarbons: n-heptane
10.1016/j.combustflame.2007.11.013 · 2008 · External reference
Some methods for classification and analysis of multivariate observations
1967 · External reference
Progress variable variance and filtered rate modelling using convolutional neural networks and flamelet methods
10.1007/s10494-019-00028-w · 2019 · External reference
An efficient error-propagation-based reduction method for large chemical kinetic mechanisms
10.1016/j.combustflame.2007.10.020 · 2008 · External reference
Systematic reduction of flame kinetics: principles and details
1988 · External reference
Solving the population balance equation for non-inertial particles dynamics using probability density function and neural networks: application to a sooting flame
10.1063/5.0031144 · 2021 · External reference
Unresolved reference
External reference
A mixing model for turbulent reactive flows based on euclidean minimum spanning trees
10.1016/s0010-2180(98)00023-6 · 1998 · External reference
Chemistry reduction using machine learning trained from non-premixed micro-mixing modeling: application to DNS of a syngas turbulent oxy-flame with side-wall effects
10.1016/j.combustflame.2020.06.008 · 2020 · External reference
Machine learning for detailed chemistry reduction in DNS of a syngas turbulent oxy-flame with side-wall effects
10.1016/j.proci.2020.06.047 · 2021 · External reference
Combustion regime identification from machine learning trained by Raman/Rayleigh line measurements
10.1016/j.combustflame.2020.05.024 · 2020 · External reference
