Mateus Dias Ribeiro

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Mateus Dias Ribeiro, Abdul Rehman, Sheraz Ahmed et al. · arXiv (Cornell University) · 2020 · 56 citations · Full text

Computing, Computational Engineering, Computer Science +16

Data-Driven Aerodynamic Modeling Using the DLR SMARTy Toolbox

Philipp Bekemeyer, Anna Bertram, Derrick Armando Hines Chaves et al. · AIAA AVIATION 2022 Forum · 2022 · 35 citations

Engineering, Aerospace Engineering, Computational Engineering +16

Turbulence forecasting via Neural ODE

Gavin Portwood, Peetak Mitra, Mateus Dias Ribeiro et al. · arXiv (Cornell University) · 2019 · 24 citations · Full text

Natural Sciences, Computational Engineering, Physics +17

Unsteady reduced order model with neural networks and flight-physics-based regularization for aerodynamic applications

Mateus Dias Ribeiro, Mario Stradtner, Philipp Bekemeyer · Computers & Fluids · 2023 · 24 citations

Engineering, Aerospace Engineering, Mechanical Engineering +17

Penetration of the Flame Into the Top-Land Crevice - Large-Eddy Simulation and Experimental High-Speed Visualization

Peter Janas, Mateus Dias Ribeiro, Andreas Kempf et al. · SAE technical papers on CD-ROM/SAE technical paper series · 2015 · 20 citations

Engineering, Aerospace Engineering, Computational Fluid Dynamics +16