Pages that link to "Item:Q6044222"
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The following pages link to A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics (Q6044222):
Displaying 18 items.
- A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics (Q2021893) (← links)
- A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method (Q2096848) (← links)
- Physics-informed neural networks for shell structures (Q2102673) (← links)
- MFLP-PINN: a physics-informed neural network for multiaxial fatigue life prediction (Q2691055) (← links)
- On the order of derivation in the training of physics-informed neural networks: case studies for non-uniform beam structures (Q6058580) (← links)
- A nonlocal energy‐informed neural network for isotropic elastic solids with cracks under thermomechanical loads (Q6082574) (← links)
- Physics-informed radial basis network (PIRBN): a local approximating neural network for solving nonlinear partial differential equations (Q6096508) (← links)
- Solving multi-material problems in solid mechanics using physics-informed neural networks based on domain decomposition technology (Q6099225) (← links)
- Deep convolutional Ritz method: parametric PDE surrogates without labeled data (Q6132294) (← links)
- Physics-informed neural network frameworks for crack simulation based on minimized peridynamic potential energy (Q6153887) (← links)
- Optimal parameters selection of back propagation algorithm in the feedforward neural network (Q6158709) (← links)
- A complete physics-informed neural network-based framework for structural topology optimization (Q6194165) (← links)
- A nonlocal energy-informed neural network for peridynamic correspondence material models (Q6545792) (← links)
- Dynamically configured physics-informed neural network in topology optimization applications (Q6550166) (← links)
- An introduction to programming physics-informed neural network-based computational solid mechanics (Q6564385) (← links)
- A localized Fourier collocation method for 2D and 3D elastic mechanics analysis: theory and MATLAB code (Q6566829) (← links)
- Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials (Q6595896) (← links)
- Efficiently training physics-informed neural networks via anomaly-aware optimization (Q6662394) (← links)
