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.
☆15Apr 12, 2024Updated 2 years ago
Alternatives and similar repositories for FMPINN
Users that are interested in FMPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- ☆25Jan 7, 2026Updated 3 months ago
- Physics Informed Fourier Neural Operator☆30Nov 21, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆16Apr 12, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Deep finite volume method☆22Jun 26, 2024Updated last year
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆17Aug 25, 2022Updated 3 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated 2 years ago
- The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fractu…☆12Mar 17, 2023Updated 3 years ago
- ☆19Dec 22, 2025Updated 3 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆25Apr 7, 2025Updated last year
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 5 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆26Jun 7, 2024Updated last year
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆24Apr 2, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆23Oct 23, 2020Updated 5 years ago
- ☆18Jun 6, 2023Updated 2 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆19May 5, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- Dijkstra - Shortest Path☆10May 27, 2013Updated 12 years ago
- Code for "Accurate Differential Operators for Hybrid Neural Fields", accepted at CVPR 2025☆29Jun 5, 2025Updated 10 months ago
- ☆119Mar 15, 2024Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆20Oct 4, 2024Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆105Oct 24, 2022Updated 3 years ago
- ☆11Apr 7, 2024Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆43Jul 17, 2025Updated 8 months ago
- ☆11Jul 21, 2023Updated 2 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- We propose the first Multiphysics Bench for benchmarking and investigating Scientific Machine Learning for solving multiphysics PDEs.☆37May 29, 2025Updated 10 months ago
- Open source ML Python package for airline Crew Pairing Optimization☆17Jun 25, 2021Updated 4 years ago
- ☆169Jun 27, 2022Updated 3 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆17Mar 28, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆27Dec 22, 2022Updated 3 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆20Jan 17, 2022Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 5 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆11Jul 15, 2022Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆174Sep 6, 2024Updated last year
- ☆12Dec 13, 2024Updated last year