33 citations · 61 across the 3 of their papers we have counts for
4 papers
Differentiable simulations for particle tracking in accelerators: analysis, benchmarking and optimization
Francisco Huhn, Francesco M. Velotti
Optimization of beamlines and lattices is a common problem in accelerator physics, which is usually solved with semi-analytical methods and numerical optimization routines. However…
Gradient-free optimization of chaotic acoustics with reservoir computing
Francisco Huhn, Luca Magri
We develop a versatile optimization method, which finds the design parameters that minimize time-averaged acoustic cost functionals. The method is gradient-free, model-informed, an…
Learning ergodic averages in chaotic systems
Francisco Huhn, Luca Magri
We propose a physics-informed machine learning method to predict the time average of a chaotic attractor. The method is based on the hybrid echo state network (hESN). We assume tha…
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…