What insights can DMD provide into flame stability and pollutant formation?

Mar 19, 2019 ... Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, ... Abstract. This work develops compressed sensing strategies for computing the dynamic mode decomposition (DMD) from heavily subsampled or compressed data. The ... Jan 20, 2021 ... Abstract. Fluctuating surface pressures on a bluff body exposed to a boundary layer flow generally are characterized as a spatiotemporally ... Title, 24. DGLR STAB-Symposium. Duration, 13 - 14 November 2024. Degree of recognition, National event. Location, OTH Regensburg. City, Regensburg. May 26, 2022 ... May 26, 2022. DTU Wind and Energy Systems. 27. Identification of large-scale, atmospheric structures using, Dynamic Mode Decomposition. Mar 1, 2023 ... Abstract. In this work, we demonstrate how physical principles—such as symmetries, invariances and conservation laws—can be integrated into the ... Mar 21, 2025 ... Using Dynamic Mode Decomposition with control (DMDc), we analyze surface air temperature patterns from climate simulations to elucidate the ... Nov 13, 2019 ... Semantic Scholar extracted view of "Dynamic mode decomposition based analysis of flow over a sinusoidally pitching airfoil" by Karthik Menon ... Analysis of Proper Orthogonal Decomposition and Dynamic Mode Decomposition on LES of Subsonic Jets. Santosh Tirunagari, Ville Vuorinen, Ossi Kaario, ... Oct 26, 2023 ... Dynamic mode decomposition (DMD) is an equation-free method originally developed in the field of fluid dynamics to investigate coherent ...