Single-snapshot-based dynamical mode prediction of a flickering flame via a Fourier-neural-operator network

The self-excited flickering of jet diffusion flames is dominated by the dynamics of periodic coherent vortical structures, which can typically be analyzed through dynamic mode decomposition (DMD) based on a time-resolved flow-field sequence. We present a neural network that extracts these structures...

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Autores principales:	Xi Xia, Junhao Deng, Tao Yang, Liangliang Xu, Amir Mardani, Peng Zhang, Dan Zhao
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-12-01
Colección:	Applications in Energy and Combustion Science
Materias:	Flame flickering Jet diffusion flame Dynamic mode decomposition Fourier neural operator Neural network
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2666352X25000615
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