All Stories

  1. A robust physics-informed neural network approach for predicting structural instability
  2. Optimum design of nonlinear structures via deep neural network-based parameterization framework
  3. An Improved Blind Kriging Surrogate Model for Design Optimization Problems
  4. A robust unsupervised neural network framework for geometrically nonlinear analysis
  5. A novel deep unsupervised learning-based framework for optimization of truss structures
  6. A machine learning-based surrogate model for optimization of truss structures