80 citations · 436 across the 40 of their papers we have counts for
7 papers · 1 filter
A physics-aware machine to predict extreme events in turbulence
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
We propose a physics-aware machine learning method to time-accurately predict extreme events in a turbulent flow. The method combines two radically different approaches: empirical…
Sensitivity of the Rayleigh criterion in thermoacoustics
Luca Magri, Matthew P. Juniper, Jonas P. Moeck
Thermoacoustic instabilities are one of the most challenging problems faced by gas turbine and rocket motor manufacturers. The key instability mechanism is described by the {\it Ra…
Stability, sensitivity and optimisation of chaotic acoustic oscillations
Francisco Huhn, Luca Magri
In an acoustic cavity with a heat source, such as a flame in a gas turbine, the thermal energy of the heat source can be converted into acoustic energy, which may generate a loud o…
Physics-Informed Echo State Networks for Chaotic Systems Forecasting
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
We propose a physics-informed Echo State Network (ESN) to predict the evolution of chaotic systems. Compared to conventional ESNs, the physics-informed ESNs are trained to solve su…
Data assimilation in a nonlinear time-delayed dynamical system
Tullio Traverso, Luca Magri
When the heat released by a flame is sufficiently in phase with the acoustic pressure, a self-excited thermoacoustic oscillation can arise. These nonlinear oscillations are one of…
Adjoint characteristic decomposition of one-dimensional waves
Luca Magri
Adjoint methods enable the accurate calculation of the sensitivities of a quantity of interest. The sensitivity is obtained by solving the adjoint system, which can be derived by c…