A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame

A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame

Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fidelity soot models come with a significant computati...

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Bibliographic Details
Main Authors: Mehdi Jadidi, Luke Di Liddo, Seth B. Dworkin
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
soot concentration
estimator
neural network
LSTM
transient diffusion flame
computational fluid dynamics
Online Access:https://www.mdpi.com/1996-1073/14/5/1394

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https://www.mdpi.com/1996-1073/14/5/1394

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