6 citations · 11 across the 6 of their papers we have counts for
6 papers
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
Marlon Sproesser Mathias, Wesley Pereira de Almeida, Marcel Rodrigues de Barros +9
We implement a Physics-Informed Neural Network (PINN) for solving the two-dimensional Burgers equations. This type of model can be trained with no previous knowledge of the solutio…
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…
Performance of Devito on HPC-Optimised ARM Processors
Hermes Senger, Jaime F. de Souza, Edson S. Gomi +2
We evaluate the performance of Devito, a domain specific language (DSL) for finite differences on Arm ThunderX2 processors. Experiments with two common seismic computational kernel…