Publicações

Publicações selecionadas em ciência computacional, aprendizado de máquina informado pela física e HPC.

A lista completa está nos meus perfis do Google Scholar, do ORCID e do Lattes.

Artigos em periódicos

  1. Velho, R.M.; Côrtes, A.M.A.; Barros, G.F.; Rochinha, F.A.; Coutinho, A.L.G.A. Advances in data-driven reduced order models using two-stage dimension reduction for coupled viscous flow and transport. Finite Elements in Analysis and Design, v. 248, p. 104355, 2025.

  2. Junior, M.G.V.; Côrtes, A.M.A.; Carneiro, F.R.G.; Carels, N.; Silva, F.A.B. Unveiling the Dynamics behind Glioblastoma Multiforme Single-Cell Data Heterogeneity. International Journal of Molecular Sciences, v. 25, p. 4894, 2024.

  3. Vieira Junior, M.G.; Côrtes, A.M.A.; Carneiro, F.R.G.; Carels, N.; Silva, F.A.B. A method for in silico exploration of potential glioblastoma multiforme attractors using single-cell RNA sequencing. Scientific Reports, v. 14, p. 26003, 2024.

  4. Barros, G.F.; Côrtes, A.M.A.; Coutinho, A.L.G.A. Finite element solution of nonlocal Cahn–Hilliard equations with feedback control time step size adaptivity. International Journal for Numerical Methods in Engineering, v. 122, p. 5028–5052, 2021.

  5. Côrtes, A.M.A.; Lins, E.F.; Guerra, G.M.; Silva, R.M.; Alves, J.L.D.; Elias, R.N.; Rochinha, F.A.; Coutinho, A.L.G.A. EdgeCFD: a parallel residual-based variational multiscale code for multiphysics. International Journal of Computational Fluid Dynamics, v. 1, p. 1–20, 2020.

  6. Gesenhues, L.; Camata, J.J.; Côrtes, A.M.A.; Rochinha, F.A.; Coutinho, A.L.G.A. Finite element simulation of complex dense granular flows using a well-posed regularization of the μ(I)-rheology. Computers & Fluids, v. 188, p. 102–113, 2019.

  7. Clavijo, S.P.; Sarmiento, A.F.; Espath, L.F.R.; Dalcin, L.; Côrtes, A.M.A.; Calo, V.M. Reactive n-species Cahn–Hilliard system: A thermodynamically-consistent model for reversible chemical reactions. Journal of Computational and Applied Mathematics, v. 350, p. 143–154, 2018.

  8. Woźniak, M.; Smółka, M.; Côrtes, A.; Paszyński, M.; Schaefer, R. Scalability of Direct Solver for Non-stationary Cahn–Hilliard Simulations with Linearized time Integration Scheme. Procedia Computer Science, v. 80, p. 834–844, 2016.

  9. Dalcin, L.; Collier, N.; Vignal, P.; Côrtes, A.M.A.; Calo, V.M. PetIGA: A framework for high-performance isogeometric analysis. Computer Methods in Applied Mechanics and Engineering, v. 308, p. 151–181, 2016. mais de 140 citações

  10. Espath, L.F.R.; Sarmiento, A.F.; Vignal, P.; Varga, B.O.N.; Côrtes, A.M.A.; Dalcin, L.; Calo, V.M. Energy exchange analysis in droplet dynamics via the Navier–Stokes–Cahn–Hilliard model. Journal of Fluid Mechanics, v. 797, p. 389–430, 2016.

  11. Sarmiento, A.F.; Côrtes, A.M.A.; Garcia, D.A.; Dalcin, L.; Collier, N.; Calo, V.M. PetIGA-MF: a multi-field high-performance toolbox for structure-preserving B-splines spaces. Journal of Computational Science, v. 18, p. 117–131, 2016.

  12. Côrtes, A.M.A.; Dalcin, L.; Sarmiento, A.F.; Collier, N.; Calo, V.M. A scalable block-preconditioning strategy for divergence-conforming B-spline discretizations of the Stokes problem. Computer Methods in Applied Mechanics and Engineering, p. 839–858, 2016.

  13. Côrtes, A.M.A.; Coutinho, A.L.G.A.; Dalcin, L.; Calo, V.M. Performance evaluation of block-diagonal preconditioners for the divergence-conforming B-spline discretization of the Stokes system. Journal of Computational Science, v. 11, p. 123–136, 2015.

  14. Vignal, P.; Sarmiento, A.; Côrtes, A.M.A.; Dalcin, L.; Calo, V.M. Coupling Navier–Stokes and Cahn–Hilliard Equations in a Two-dimensional Annular flow Configuration. Procedia Computer Science, v. 51, p. 934–943, 2015.

  15. Elias, R.N.; Coutinho, A.L.G.A.; Gonçalves Jr., M.A.; Côrtes, A.M.A.; Alves, J.L.D.; Guevara Jr., N.O.; et al. Recent advances in EdgeCFD on wave-structure interaction and turbulence modeling. Marine Systems and Ocean Technology, v. 9, p. 49, 2014.

Capítulos de livro

  1. Velho, R.; Klausner, R.; Serpa, M.; Côrtes, A. High Performance Computing in Julia. Minicursos da XXII Escola Regional de Alto Desempenho da Região Sul. 22ed.: SBC, 2022, p. 26–62.

  2. Tosin, M.; Côrtes, A.M.A.; Cunha, A. A Tutorial on Sobol’ Global Sensitivity Analysis Applied to Biological Models. Computational Biology. 1ed.: Springer International Publishing, 2020, p. 93–118.

Trabalhos selecionados em congressos

  1. Sousa, R.F.S.; Velho, R.M.; de Matos, N.L.; Côrtes, A.M.A.; Barros, G.F.; Coutinho, A.L.G.A. Data-Driven Diffusion-Based Super-Resolution for Improvement of Reduced-Order Model Predictions in Fluid Dynamics. FUSION 2025, Rio de Janeiro.

  2. Côrtes, A.M.A.; Velho, R.M.; Barros, G.F.; Rochinha, F.A.; Coutinho, A.L.G.A. Ablation study of a non-intrusive data-driven surrogate model for the Rayleigh–Bénard convection problem. CILAMCE 2024, Maceió.

  3. Côrtes, A.M.A.; Silva, R.F.S.E.; Velho, R.M.; Barros, G.F.; Rochinha, F.A.; Coutinho, A.L.G.A. Improving accuracy of parametric surrogate model for turbidity currents using diffusion-based super-resolution. CILAMCE 2024, Maceió.

  4. Barbosa, P.W.; Côrtes, A.M.A.; Catabriga, L. Studies of a Hybrid and Multiscale Tumor Growth Model via Isogeometric Analysis using PetIGA. IEEE BIBE 2017, Washington.

  5. Elias, R.N.; Coutinho, A.L.G.A.; et al.; Côrtes, A.M.A. A Stabilized Edge-Based Finite Element Approach to Wave-Structure Interaction Assessment. ASME OMAE 2013, Nantes.