Jasiuk-Research-Group / ResUNet-DeepONet-PlasticityLinks
Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A ResUNet is used in the trunk network to encode the variable input geometries, and a feed-forward neural network is used in the branch to encode the loading parameters.
☆19Updated 2 years ago
Alternatives and similar repositories for ResUNet-DeepONet-Plasticity
Users that are interested in ResUNet-DeepONet-Plasticity are comparing it to the libraries listed below
Sorting:
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 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…☆68Updated 5 months ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆22Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- Physics-informed radial basis network☆32Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 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 and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Updated 4 years ago
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- ☆32Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- ☆58Updated 2 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 5 months ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Thermodynamics-based Artificial Neural Networks☆30Updated 2 years ago
- ☆21Updated last year
- ☆19Updated last year
- ☆46Updated last year
- Efficient GPU-computing simulation for differentiable crystal plasticity finite element method☆57Updated last month
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- ☆15Updated last year
- ☆41Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆18Updated 11 months ago
- Phase Field Fracture modelling in COMSOL☆26Updated 3 years ago
- ☆24Updated last year
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆40Updated 7 months ago