siyuancncd / FPINNs
This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Networks 2024)
☆17Updated 3 weeks ago
Alternatives and similar repositories for FPINNs
Users that are interested in FPINNs are comparing it to the libraries listed below
Sorting:
- ☆8Updated 5 months ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated 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 3 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- ☆23Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆20Updated 5 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆18Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- Multi-fidelity reduced-order surrogate modeling☆22Updated 2 weeks ago
- Multifidelity DeepONet☆32Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- ☆38Updated 2 years ago
- ☆18Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Yet another PINN implementation☆20Updated 10 months ago
- Multi-fidelity regression with neural networks☆12Updated 5 months ago
- Physics Informed Fourier Neural Operator☆21Updated 5 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Physics-informed radial basis network☆30Updated 11 months ago
- Multi-head attention network for airfoil flow field prediction☆12Updated 2 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- Deep finite volume method☆21Updated 10 months ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆8Updated last month
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago