The following pages link to Deep learned finite elements (Q2021024):
Displaying 22 items.
- Global flexibility simulation and element stiffness simulation in finite element analysis with neural network (Q1574289) (← links)
- High efficient load paths analysis with U* index generated by deep learning (Q1986717) (← links)
- Smart finite elements: a novel machine learning application (Q1986797) (← links)
- Self-updated four-node finite element using deep learning (Q2115554) (← links)
- A new mesh smoothing method based on a neural network (Q2115586) (← links)
- A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic-vibration interaction problems (Q2138808) (← links)
- Learning finite element convergence with the multi-fidelity graph neural network (Q2145122) (← links)
- An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new time-distributed residual U-net architecture (Q2184471) (← links)
- A machine learning framework for accelerating the design process using CAE simulations: an application to finite element analysis in structural crashworthiness (Q2237726) (← links)
- Deep autoencoders for physics-constrained data-driven nonlinear materials modeling (Q2237774) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Sparse Deep Neural Network for Nonlinear Partial Differential Equations (Q5885722) (← links)
- Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue (Q6044215) (← links)
- A hybrid deep neural operator/finite element method for ice-sheet modeling (Q6054205) (← links)
- Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics (Q6084492) (← links)
- Locally assembled stiffness matrix: a novel method to obtain global stiffness matrix (Q6098676) (← links)
- Incompressible rubber thermoelasticity: a neural network approach (Q6101617) (← links)
- HiDeNN-FEM: a seamless machine learning approach to nonlinear finite element analysis (Q6159332) (← links)
- Learned Gaussian quadrature for enriched solid finite elements (Q6171240) (← links)
- Adaptive sinh transformation Gaussian quadrature for 2D potential problems using deep learning (Q6539840) (← links)
- A surrogate model based on deep convolutional neural networks for solving deformation caused by moisture diffusion (Q6540139) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
