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:
- Physics Informed Fourier Neural Operator☆31Nov 21, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 4 years ago
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆18Apr 12, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 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…☆13Apr 11, 2024Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆45Jun 20, 2025Updated last year
- 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
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 6 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆26Jun 7, 2024Updated 2 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated last year
- ☆18Mar 10, 2022Updated 4 years ago
- ☆31Jan 7, 2026Updated 7 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆23Oct 23, 2020Updated 5 years ago
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆25Apr 2, 2024Updated 2 years ago
- ☆28Dec 21, 2023Updated 2 years ago
- PASSAT is a novel Physics-ASSisted And Topology informed deep learning model for weather prediction.☆15May 10, 2025Updated last year
- Code for "Accurate Differential Operators for Hybrid Neural Fields", accepted at CVPR 2025☆28Jun 5, 2025Updated last year
- ☆16Oct 29, 2023Updated 2 years ago
- This repository contains the code for coupling FEniCS with Physics-Informed DeepONet☆22Mar 28, 2026Updated 4 months ago
- ☆11Apr 7, 2024Updated 2 years ago
- ☆121Mar 15, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- ☆12Jul 21, 2023Updated 3 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 5 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆43Jul 17, 2025Updated last year
- Repository for sharing code and data assocaited with En-DeepONet architecture☆37Jan 15, 2024Updated 2 years ago
- ☆174Jun 27, 2022Updated 4 years ago
- 我的学习笔记☆14Jun 27, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆17Mar 28, 2023Updated 3 years ago
- ☆12Jul 15, 2022Updated 4 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆178Sep 6, 2024Updated last year
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆59Apr 17, 2024Updated 2 years ago
- ☆20Dec 22, 2025Updated 7 months ago