Skip to main content

and
  1. Article

    Open Access

    Progressive transfer learning for advancing machine learning-based reduced-order modeling

    To maximize knowledge transfer and improve the data requirement for data-driven machine learning (ML) modeling, a progressive transfer learning for reduced-order modeling (p-ROM) framework is proposed. A key c...

    Teeratorn Kadeethum, Daniel O’Malley, Youngsoo Choi in Scientific Reports (2024)

  2. Article

    Open Access

    Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning

    We propose a unified data-driven reduced order model (ROM) that bridges the performance gap between linear and nonlinear manifold approaches. Deep learning ROM (DL-ROM) using deep-convolutional autoencoders (D...

    Teeratorn Kadeethum, Francesco Ballarin, Daniel O’Malley in Scientific Reports (2022)