49 citations · 271 across the 22 of their papers we have counts for
5 papers · 1 filter
Parametrically driven THz magnon-pairs: predictions towards ultimately fast and minimally dissipative switching
G. Fabiani, J. H. Mentink
Findings ways to achieve switching between magnetic states at the fastest possible time scale that simultaneously dissipates the least amount of energy is one of the main challenge…
Numerical Solution of Stiff ODEs with Physics-Informed RPNNs
Evangelos Galaris, Gianluca Fabiani, Francesco Calabrò +2
We propose a numerical method based on physics-informed Random Projection Neural Networks for the solution of Initial Value Problems (IVPs) of Ordinary Differential Equations (ODEs…
Role of stochastic noise and generalization error in the time propagation of neural-network quantum states
Damian Hofmann, Giammarco Fabiani, Johan H. Mentink +2
Neural-network quantum states (NQS) have been shown to be a suitable variational ansatz to simulate out-of-equilibrium dynamics in two-dimensional systems using time-dependent vari…
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines
Gianluca Fabiani, Francesco Calabrò, Lucia Russo +1
We address a new numerical scheme based on a class of machine learning methods, the so-called Extreme Learning Machines with both sigmoidal and radial-basis functions, for the comp…
Supermagnonic propagation in two-dimensional antiferromagnets
G. Fabiani, M. D. Bouman, J. H. Mentink
We investigate the propagation of magnons after ultrashort perturbations of the exchange interaction in the prototype two-dimensional Heisenberg antiferromagnet. Using the recently…