sebastkm / hybrid-fem-nnLinks
☆30Updated 2 years ago
Alternatives and similar repositories for hybrid-fem-nn
Users that are interested in hybrid-fem-nn are comparing it to the libraries listed below
Sorting:
- ☆33Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- Physics-informed radial basis network☆30Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- Multifidelity DeepONet☆33Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated 2 weeks 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 graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆52Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆53Updated 4 months ago
- ☆39Updated last year
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- The MegaFlow2D dataset package☆21Updated last year
- ☆11Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- ☆13Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- Transfer learning on PINNs for tracking hemodynamics☆13Updated 10 months ago