Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations

Similar Items

• Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
  by: Guo, Jiachen, et al.
  Published: (2025)
• Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
  by: Guo, Jiachen, et al.
  Published: (2024)
• A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element Analysis
  by: Liu, Yingjian, et al.
  Published: (2025)
• Bayesian Interpolating Neural Network (B-INN): a scalable and reliable Bayesian model for large-scale physical systems
  by: Park, Chanwook, et al.
  Published: (2026)
• Large language model-empowered next-generation computer-aided engineering
  by: Guo, Jiachen, et al.
  Published: (2025)