ml-jku / bgnnLinks
☆15Updated 2 years ago
Alternatives and similar repositories for bgnn
Users that are interested in bgnn are comparing it to the libraries listed below
Sorting:
- ☆34Updated 4 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆18Updated 11 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- ☆41Updated 3 years ago
- Graph neural networks for stress and strain fields prediction☆55Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆22Updated 2 years ago
- ☆46Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Physics-informed radial basis network☆32Updated last year
- Rheology-informed Machine Learning Projects☆21Updated last year
- Code repo for Fluid Graph Network☆24Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆21Updated last year
- Density-based topology optimization via the deep energy method☆15Updated 3 years ago
- Prediction and control of fracture paths in disordered architected materials using graph neural networks☆12Updated 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
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 2 years ago
- The Smoothed Particle Finite Element Method (SPFEM) has gained popularity as one of the effective numerical methods for modelling geotech…☆17Updated 5 months ago
- ☆32Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆19Updated 2 years ago
- Modified Meshgraphnets with more features☆56Updated 9 months ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated 2 years ago
- A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis☆29Updated 7 years ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆13Updated last year
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 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
- PINN for obtaining WSS from sparse data☆68Updated last year