fsahli / Delta-PINNs
☆26Updated 8 months ago
Alternatives and similar repositories for Delta-PINNs:
Users that are interested in Delta-PINNs are comparing it to the libraries listed below
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆35Updated 7 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆17Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 9 months ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆21Updated last year
- Physics-informed radial basis network☆30Updated 10 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- Soving heat transfer problems using PINN with tf2.0☆20Updated 3 years ago
- ☆11Updated 11 months 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
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆28Updated last week
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆12Updated 8 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- PDE Preserved Neural Network☆46Updated 8 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆13Updated 11 months ago
- PINN for obtaining WSS from sparse data☆62Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated 11 months ago
- ☆53Updated 2 years ago
- ☆35Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆48Updated 2 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆13Updated 10 months ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- Data preprocess method on Physics-informed neural networks☆13Updated last month
- DeepONet extrapolation☆26Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆10Updated 3 years ago