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  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)

  3. No Access

    Article

    A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

    Here we employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN) for learning a forward and an inverse solution operator of partial differential equat...

    Teeratorn Kadeethum, Daniel O’Malley, Jan Niklas Fuhg in Nature Computational Science (2021)

  4. No Access

    Article

    A dual mesh method with adaptivity for stress-constrained topology optimization

    This paper is concerned with the topological optimization of elastic structures, with the goal of minimizing the compliance and/or mass of the structure, subject to a stress constraint. It is well known that d...

    Daniel A. White, Youngsoo Choi, Jun Kudo in Structural and Multidisciplinary Optimization (2020)

  5. No Access

    Article

    A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control

    A distributed optimal control problem with the constraint of a linear elliptic partial differential equation is considered. A necessary optimality condition for this problem forms a saddle point system, the ef...

    Youngsoo Choi, Charbel Farhat, Walter Murray in Journal of Scientific Computing (2015)

  6. No Access

    Article

    Design optimization using hyper-reduced-order models

    Solving large-scale PDE-constrained optimization problems presents computational challenges due to the large dimensional set of underlying equations that have to be handled by the optimizer. Recently, projecti...

    David Amsallem, Matthew Zahr, Youngsoo Choi in Structural and Multidisciplinary Optimizat… (2015)

  7. No Access

    Article

    Development of a spot weld analysis model that incorporates strain rate

    Most welding element models are simplified rather than detailed to reduce analysis time and to incorporate multiple welding elements into a structure. Nevertheless, a simple model should describe the real proc...

    Youngsoo Choi, Jonggon Kim, Young Whan Park in International Journal of Precision Enginee… (2012)