JoepStorm / Microscale-GNN-SurrogateLinks
☆13Updated last month
Alternatives and similar repositories for Microscale-GNN-Surrogate
Users that are interested in Microscale-GNN-Surrogate are comparing it to the libraries listed below
Sorting:
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Updated 4 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆26Updated 4 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- ☆24Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used…☆26Updated 3 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
- Mohr Coulomb Model☆15Updated 4 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Updated 3 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆19Updated last year
- ☆59Updated 2 years ago
- Qi ZHANG's simulation code☆11Updated last year
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆22Updated 8 months ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆19Updated 9 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Physics-informed radial basis network☆34Updated last year
- 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
- Phase Field Fracture modelling in COMSOL☆28Updated 4 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- ☆29Updated last year
- Abaqus UMAT subroutine for a large family of finite viscoelasticity models☆20Updated last year
- ☆21Updated last year
- virtual element method for space-time dynamic analysis☆12Updated 9 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆25Updated 5 months ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆30Updated 3 weeks ago
- ☆46Updated 2 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Updated last year
- Density-based topology optimization via the deep energy method☆18Updated 3 years ago
- Abaqus/Standard user element subroutine (UEL) for hyperelastic materials in total Lagrangian framework using standard displacement formul…☆21Updated 6 months ago