Pages that link to "Item:Q6053463"
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The following pages link to Deep learning-accelerated computational framework based on physics informed neural network for the solution of linear elasticity (Q6053463):
Displaying 9 items.
- Deep learning acceleration of total Lagrangian explicit dynamics for soft tissue mechanics (Q1989089) (← links)
- A deep learning-based hybrid approach for the solution of multiphysics problems in electrosurgery (Q2179220) (← links)
- Physics-informed multi-LSTM networks for metamodeling of nonlinear structures (Q2236167) (← links)
- Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios (Q2683433) (← links)
- On the order of derivation in the training of physics-informed neural networks: case studies for non-uniform beam structures (Q6058580) (← links)
- Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics (Q6084492) (← links)
- Solving multi-material problems in solid mechanics using physics-informed neural networks based on domain decomposition technology (Q6099225) (← links)
- Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading (Q6164292) (← links)
- Physics-informed holomorphic neural networks (PIHNNs): solving 2D linear elasticity problems (Q6643566) (← links)
