All Stories

  1. A robust physics-informed neural network approach for predicting structural instability

    Article • Finite Elements in Analysis and Design, April 2023, Elsevier

    Hau T. Mai

  2. Optimum design of nonlinear structures via deep neural network-based parameterization framework

    Article • European Journal of Mechanics - A/Solids, March 2023, Elsevier

    Hau T. Mai

  3. An Improved Blind Kriging Surrogate Model for Design Optimization Problems

    Article • Mathematics, August 2022, MDPI AG

    Hau T. Mai

  4. A robust unsupervised neural network framework for geometrically nonlinear analysis

    Article • Applied Mathematical Modelling, July 2022, Elsevier

    Hau T. Mai

  5. A novel deep unsupervised learning-based framework for optimization of truss structures

    Article • Engineering With Computers, April 2022, Springer Science + Business Media

    Hau T. Mai

  6. A machine learning-based surrogate model for optimization of truss structures

    Article • Finite Elements in Analysis and Design, November 2021, Elsevier

    Hau T. Mai