sebastkm / hybrid-fem-nn
☆27Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for hybrid-fem-nn
- ☆30Updated 3 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆14Updated last year
- Code repo for Fluid Graph Network☆22Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆23Updated 11 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- machine learning-accelerated computational fluid dynamics☆17Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Physics-informed radial basis network☆26Updated 6 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆30Updated 3 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆40Updated last year
- ☆16Updated 9 months ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆16Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆47Updated 2 years ago
- ☆11Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆20Updated 4 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆22Updated 6 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆30Updated 3 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆8Updated 2 months ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 4 years ago
- A C++ implementation of the incompressible reference map technique☆12Updated 3 months ago
- ☆37Updated 11 months ago
- ☆34Updated last year
- ☆10Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆20Updated last year
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆10Updated 2 years ago
- DeepONet extrapolation☆24Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 7 months ago