Latent space-based machine learning prediction of coupled flame-flow fields in a hydrogen-enriched syngas combustor
In this study, we propose an innovative latent space-based machine learning model to
predict coupled flame-flow fields across various combustion states. This model consists of …
predict coupled flame-flow fields across various combustion states. This model consists of …
Data-driven identification of the critical transition to thermoacoustic instability in a full-scale solid rocket motor
Thermoacoustic instability is a persistent problem frequently observed in various types of
combustors, resulting in damaging consequences. However, our understanding of the …
combustors, resulting in damaging consequences. However, our understanding of the …