Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method

Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method

In this work, a data-driven methodology for modeling combustion kinetics, Learned Intelligent Tabulation (LIT), is presented. LIT aims to accelerate the tabulation of combustion mechanisms via machine learning algorithms such as Deep Neural Networks (DNNs). The high-dimensional composition space is...

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Bibliographic Details
Main Authors: Majid Haghshenas, Peetak Mitra, Niccolò Dal Santo, David P. Schmidt
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
combustion
kinetics
machine learning
neural network (NN)
CFD
Online Access:https://www.mdpi.com/1996-1073/14/23/7851

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https://www.mdpi.com/1996-1073/14/23/7851

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