Blar i SINTEF Open på forfatter "Ahmed, Shady E"

Viser treff 1-3 av 3

    • Multifidelity computing for coupling full and reduced order models 

      Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil (Peer reviewed; Journal article, 2021)
      Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ...

    • A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold 

      Tabib, Mandar; Pawar, Suraj; Ahmed, Shady E; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2021)
      In this study, we present a parametric non-intrusive reduced order modeling framework as a potential digital twin enabler for fluid flow related applications. The case study considered here involves building-induced flows ...

    • Nonlinear proper orthogonal decomposition for convection-dominated flows 

      Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu (Peer reviewed; Journal article, 2021)
      Autoencoder techniques find increasingly common use in reduced order modeling as a means to create a latent space. This reduced order representation offers a modular data-driven modeling approach for nonlinear dynamical ...