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.
☆12Updated last year
Alternatives and similar repositories for FMPINN
Users that are interested in FMPINN are comparing it to the libraries listed below
Sorting:
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆20Updated 4 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…☆12Updated 2 years ago
- ☆15Updated 11 months ago
- ☆15Updated 3 months ago
- Data-guided physics-informed neural networks☆12Updated last year
- Data preprocess method on Physics-informed neural networks☆18Updated 5 months ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆10Updated 3 months ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆23Updated last year
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆22Updated 4 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 10 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 8 months ago
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆15Updated 3 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Deep finite volume method☆22Updated last year
- ☆22Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆19Updated this week
- ☆19Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated last month
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- ☆11Updated 8 months ago
- ☆24Updated last year
- ☆12Updated 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…☆25Updated 6 months ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆29Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 4 months ago