8 citations · 10 across the 4 of their papers we have counts for
4 papers
Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application
Roberta Duarte, Rodrigo Nemmen, Reinaldo Santos-Lima
Fourier neural operators (FNOs) provide a mesh-independent way to learn solution operators for partial differential equations, yet their efficacy for magnetized turbulence is large…
Deep learning model for multiwavelength emission from low-luminosity active galactic nuclei
Ivan Almeida, Roberta Duarte, Rodrigo Nemmen
Most active supermassive black holes (SMBH) in present-day galaxies are underfed and consist of low-luminosity active galactic nuclei (LLAGN). They have multiwavelength broadband s…
Black Hole Weather Forecasting with Deep Learning: A Pilot Study
Roberta Duarte, Rodrigo Nemmen, João Paulo Navarro
In this pilot study, we investigate the use of a deep learning (DL) model to temporally evolve the dynamics of gas accreting onto a black hole in the form of a radiatively ineffici…
The first AI simulation of a black hole
Rodrigo Nemmen, Roberta Duarte, Joao Paulo Navarro
We report the results from our ongoing pilot investigation of the use of deep learning techniques for forecasting the state of turbulent flows onto black holes. Deep neural network…