Blue-Giant / FMPINNLinks
Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neural networks(dubbed FMPINN), the solver of FMPINN is configured as a multi-scale deep neural networks.
☆14Updated last year
Alternatives and similar repositories for FMPINN
Users that are interested in FMPINN are comparing it to the libraries listed below
Sorting:
- ☆20Updated 7 months ago
- ☆15Updated last year
- Physics-informed deep learning for structural dynamics under moving load☆18Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆22Updated 7 months ago
- Data-guided physics-informed neural networks☆15Updated last year
- Data preprocess method on Physics-informed neural networks☆23Updated 9 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Updated 3 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆11Updated 7 months ago
- Deep finite volume method☆22Updated last year
- Physics Informed Fourier Neural Operator☆23Updated last year
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 11 months ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 10 months ago
- ☆12Updated 11 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- MATLAB codes for the RPIM-NNS☆12Updated last year
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆23Updated 4 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆25Updated last month
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 2 months ago
- ☆24Updated last year
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- This is the implementation of the RecFNO.☆25Updated 2 years ago
- ☆22Updated last year
- ☆12Updated 11 months ago
- ☆26Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆41Updated 3 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Updated last year