Pages that link to "Item:Q2115607"
From MaRDI portal
The following pages link to A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features (Q2115607):
Displaying 9 items.
- A UMAP-based clustering method for multi-scale damage analysis of laminates (Q2110084) (← links)
- Probabilistic deep learning for real-time large deformation simulations (Q2160483) (← links)
- Identification of material parameters and traction field for soft bodies in contact (Q2686880) (← links)
- StressD: 2D stress estimation using denoising diffusion model (Q6084486) (← links)
- Concurrent multiscale and multi-material optimization method for natural vibration design of porous structures (Q6499904) (← links)
- Micromechanics-based deep-learning for composites: challenges and future perspectives (Q6540411) (← links)
- A microstructure-based graph neural network for accelerating multiscale simulations (Q6557762) (← links)
- Framework of acoustic analysis and shape optimization for three-dimensional doubly periodic multilayered structures (Q6648390) (← links)
- FEM-PIKFNN for underwater acoustic propagation induced by structural vibrations in different ocean environments (Q6663402) (← links)
