6 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
A Physics-Informed Neural Network to Model Port Channels
Marlon S. Mathias, Marcel R. de Barros, Jefferson F. Coelho +8
We describe a Physics-Informed Neural Network (PINN) that simulates the flow induced by the astronomical tide in a synthetic port channel, with dimensions based on the Santos - São…
Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests
Felipe M. Moreno, Caio F. D. Netto, Marcel R. de Barros +9
In this work we improve forecasting of Sea Surface Height (SSH) and current velocity (speed and direction) in oceanic scenarios. We do so by resorting to Random Forests so as to pr…
Modeling Oceanic Variables with Dynamic Graph Neural Networks
Caio F. D. Netto, Marcel R. de Barros, Jefferson F. Coelho +8
Researchers typically resort to numerical methods to understand and predict ocean dynamics, a key task in mastering environmental phenomena. Such methods may not be suitable in sce…
-- A Finite Difference Simulator for Acoustic Waves Propagation
Jaime Freire de Souza, João Baptista Dias Moreira, Keith Jared Roberts +4
is an open-source Python package to perform wave simulations in 2D or 3D domains. It solves the constant and variable density acoustic wave equation with the finite…