32 citations · 36 across the 4 of their papers we have counts for
4 papers
A Machine Learning Pressure Emulator for Hydrogen Embrittlement
Minh Triet Chau, João Lucas de Sousa Almeida, Elie Alhajjar +1
A recent alternative for hydrogen transportation as a mixture with natural gas is blending it into natural gas pipelines. However, hydrogen embrittlement of material is a major con…
Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems
João Lucas de Sousa Almeida, Arthur Cancellieri Pires, Klaus Feine Vaz Cid +1
This work explores the physics-driven machine learning technique Operator Inference (OpInf) for predicting the state of chaotic dynamical systems. OpInf provides a non-intrusive ap…
Reduced order modeling of dynamical systems using artificial neural networks applied to water circulation
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger +1
General circulation models are essential tools in weather and hydrodynamic simulation. They solve discretized, complex physical equations in order to compute evolutionary states of…
Smooth and compactly supported viscous sub-cell shock capturing for Discontinuous Galerkin methods
J. Glaubitz, A. C. Nogueira, J. L. S. Almeida +2
In this work, a novel artificial viscosity method is proposed using smooth and compactly supported viscosities. These are derived by revisiting the widely used piecewise constant a…