ncsa / GeomDeepONet
A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by different number of mesh nodes.
☆14Updated 9 months ago
Alternatives and similar repositories for GeomDeepONet:
Users that are interested in GeomDeepONet are comparing it to the libraries listed below
- 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
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- ☆30Updated 2 years ago
- Physics-informed radial basis network☆30Updated 11 months ago
- ☆10Updated last year
- ☆26Updated last month
- Multifidelity DeepONet☆31Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆39Updated 2 months ago
- ☆8Updated 5 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 8 months ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆11Updated 8 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆28Updated 6 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
- Multi-fidelity reduced-order surrogate modeling☆22Updated this week
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated 2 years ago
- DeepONet extrapolation☆27Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆18Updated last year
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆14Updated 3 months ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- ☆25Updated last year
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆32Updated last month
- ☆18Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated 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…☆52Updated 3 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year