CILAMCE 24

Scientific Machine Learning and Uncertainty Quantification

Author(s)
Adriano Cortes (UFRJ), Alvaro Coutinho (UFRJ), Fernando Rochinha (UFRJ)


MS Scientific Machine Learning and Uncertainty Quantification
Local: Sala Tabuba
 
  • 12/11/2024 das 16:00 às 16:15
    Ablation study of a non-intrusive data-driven surrogate model for the Rayleigh-Bénard convection problem
    Adriano Cortes, Roberto Machado Velho, Gabriel Freguglia Barros, Fernando Alves Rochinha, Alvaro Luiz Gayoso de Azeredo Coutinho
  • 12/11/2024 das 16:15 às 16:30
    An information-theoretic Machine Learning for upscaling and downscaling of uncertainty stochastic reservoir
    Ianyqui Falcão Costa, Liliane de Allan Fonseca, Ramiro Willmersdorf, Ézio da Rocha Araújo
  • 12/11/2024 das 16:30 às 16:45
    Deep kernel learning to assist fuel design from molecular embeddings
    Rodolfo da Silva Machado de Freitas, Fernando Alves Rochinha, Nader Karimi, Xi Jiang
  • 12/11/2024 das 16:45 às 17:00
    Improving accuracy of parametric surrogate model for turbidity currents using diffusion-based super-resolution
    Adriano Cortes, Ruan Felipe de Sousa e Silva, Roberto Machado Velho, Gabriel Freguglia Barros, Fernando Alves Rochinha, Alvaro Luiz Gayoso de Azeredo Coutinho
  • 12/11/2024 das 17:00 às 17:15
    Machine Learning aided Phase-Field Method in Constitutive Modeling of Concrete Structures
    Adalberto Horácio de Oliveira Mendes, Hugo Mouro Leão, Saulo Silvestre de Castro, Roque Luiz da Silva Pitangueira
  • 12/11/2024 das 17:15 às 17:30
    Physics-informed neural networks approach for one-dimensional beams
    Felipe Pereira dos Santos, Lapo Gori
  • 12/11/2024 das 17:30 às 17:45
    Piecewise Dynamic Mode Decomposition of Fluid Flow Simulations
    Matheus Borges Seidel, Alvaro Luiz Gayoso De Azeredo Coutinho, Michèle Schubert Pfeil, Renato Nascimento Elias, Gabriel Freguglia Barros
  • 12/11/2024 das 17:45 às 18:00
    Uncertainty quantification analysis in porous media using differential evolution McMC method with selection (DESk)
    Michel Antonio Tosin Caldas, Marcio R. Borges
  • 12/11/2024 das 18:00 às 18:15
    Uncertainty Quantification for CO2 Sequestration Using Neural Operators
    Rodolfo da Silva Machado de Freitas, Fernando A. Rochinha, Alvaro L.G.A. Coutinho, Rômulo M. Silva, Gabriel F. Barros, Ezequiel S. Santos