marcomau06 / GNNs_fields_predictionLinks
Graph neural networks for stress and strain fields prediction
☆56Updated 2 years ago
Alternatives and similar repositories for GNNs_fields_prediction
Users that are interested in GNNs_fields_prediction are comparing it to the libraries listed below
Sorting:
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 3 years ago
- ☆59Updated 2 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆18Updated 2 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆19Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆36Updated 4 years ago
- Efficient GPU-computing simulation for differentiable crystal plasticity finite element method☆64Updated last month
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Updated 3 years ago
- Implementation of 'Inverting the structure-property map of truss metamaterials via deep learning' (PNAS)☆30Updated last year
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆34Updated 5 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆72Updated 3 years ago
- ☆19Updated 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 7 months ago
- ☆13Updated last month
- ☆21Updated last year
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligenc…☆80Updated last year
- ☆27Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Phase Field Fracture modelling in COMSOL☆28Updated 4 years ago
- ☆24Updated last year
- Physics-informed radial basis network☆34Updated last year
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Updated 4 years ago
- ☆32Updated 3 years ago
- ☆46Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- Modified Meshgraphnets with more features☆57Updated 10 months ago
- ☆28Updated 10 months ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆24Updated 7 months ago