Blar i SINTEF Open på forfatter "Vedula, Prakash"

Viser treff 1-3 av 3

    • Data-driven deconvolution for large eddy simulations of Kraichnan turbulence 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2018)
      In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ...

    • Multi-fidelity information fusion with concatenated neural networks 

      Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond (Peer reviewed; Journal article, 2022)
      Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design ...

    • Subgrid modelling for two-dimensional turbulence using neural networks 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2019)
      In this investigation, a data-driven turbulence closure framework is introduced and deployed for the subgrid modelling of Kraichnan turbulence. The novelty of the proposed method lies in the fact that snapshots from ...