Blue-Giant / PIELM_NumpyLinks
Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
☆13Updated 8 months ago
Alternatives and similar repositories for PIELM_Numpy
Users that are interested in PIELM_Numpy are comparing it to the libraries listed below
Sorting:
- Research/development of physics-informed neural networks for dynamic systems☆27Updated 8 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆18Updated last month
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Physics-Informed Neural Network☆87Updated 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
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- ☆13Updated 7 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆23Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Multi-fidelity regression with neural networks☆13Updated 8 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- ☆11Updated 8 months 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
- POD-PINN code and manuscript☆52Updated 8 months ago
- Data-guided physics-informed neural networks☆12Updated last year
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- ☆14Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆57Updated 3 months ago
- ☆26Updated 3 years ago
- ☆37Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 8 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- Yet another PINN implementation☆20Updated last year
- Data preprocess method on Physics-informed neural networks☆18Updated 5 months ago