Pages that link to "Item:Q2678488"
From MaRDI portal
The following pages link to Integrated finite element neural network (I-FENN) for non-local continuum damage mechanics (Q2678488):
Displaying 12 items.
- Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics (Q6084492) (← links)
- A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content (Q6096512) (← links)
- Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance (Q6116144) (← links)
- Pre-trained transformer model as a surrogate in multiscale computational homogenization framework for elastoplastic composite materials subjected to generic loading paths (Q6121691) (← links)
- Automatic boundary fitting framework of boundary dependent physics-informed neural network solving partial differential equation with complex boundary conditions (Q6171169) (← links)
- The anisotropic graph neural network model with multiscale and nonlinear characteristic for turbulence simulation (Q6185144) (← links)
- I-FENN with temporal convolutional networks: expediting the load-history analysis of non-local gradient damage propagation (Q6497179) (← links)
- A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites (Q6557800) (← links)
- Variational temporal convolutional networks for I-FENN thermoelasticity (Q6588274) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- A new unified arc-length method for damage mechanics problems (Q6661936) (← links)
- I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN) (Q6661937) (← links)
