sebastkm / hybrid-fem-nn-examplesLinks
☆34Updated 4 years ago
Alternatives and similar repositories for hybrid-fem-nn-examples
Users that are interested in hybrid-fem-nn-examples are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆70Updated 6 months ago
- Physics-informed radial basis network☆33Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆36Updated 4 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆53Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- ☆32Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆41Updated 8 months ago
- ☆22Updated 4 years ago
- ☆59Updated 2 years ago
- TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain☆47Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆24Updated 6 months ago
- ☆20Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- ☆44Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- ☆27Updated 9 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated last week
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Updated last year