Scientific Machine Learning and Applications

All Items

• Machine Learning to Assist Structural Engineers: A Bibliometric Analysis 2020-2025

  Jesús Daniel Villalba Morales, Ana Sofía González Merizalde, Jesús Antonio García Sánchez

• Neural Network Application for Aerodynamic Force Estimation in Heavy Artillery Projectile Trajectories

  Lucas gomes do amaral, Daniel Henrique Braz de Sousa, André Rezende

• Non-Intrusive Data-driven Surrogate Models for Predicting Turbidity Currents Deposition from 3D Simulations

  Roberto Machado Velho, Adriano M. Cortes, Gabriel M. Guerra, José Camata, Renato N. Elias, Alvaro L. G. A. Coutinho, Fernando A. Rochinha, Tiago H. F. Jesus, Thais C. A. Empinotti, Paulo L. B. Paraizo

• Numerical Simulation Using Nonlinear Finite Elements and Machine Learning for the Evaluation of Failure Probability of Reinforced Concrete Beams

  Oswald Casaverde Lopez, Leandro Lopes da Silva

• Online Model Order Reduction for Flow Simulations problems using Dynamic Mode Decomposition

  felipe toledo, Alvaro Coutinho, Gabriel F. Barros, Renato Nascimento Elias

• Performance Assessment on Neural Operator Surrogate Models For Porous Media Flows

  Gabriel F. Barros, Rômulo M. Silva, Amanda C. N. Oliveira, Ezequiel S. Santos, Rodolfo S. M. Freitas, Fernando A. Rochinha, Alvaro L. G. A. Coutinho

• U-net-based Segmentation Of Sensor Data For Detecting Important Events In Oil Wells

  Lucas Gouveia Omena Lopes, Thales Miranda de Almeida Vieira, Andressa Celestino Araújo Da Silva, Igor de Melo Nery, Davi Leão Ramos, Eduardo Toledo de Lima Junior, William Wagner Matos Lira, Pedro Esteves Aranha

• Use of Physics-Informed Neural Networks to compute velocity and pressure fields around an airfoil in transonic flow

  Vinícius Passeri Moraes de Souza, Thiago da Silva Batista, Vinícius de Carvalho Rispoli