xgxg1314 / My-awesome-PINN-papers
☆22Updated 2 years ago
Alternatives and similar repositories for My-awesome-PINN-papers:
Users that are interested in My-awesome-PINN-papers are comparing it to the libraries listed below
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆23Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆24Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆23Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- ☆14Updated 3 years ago
- ☆37Updated 2 years ago
- ☆25Updated 2 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release ( …☆10Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆67Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- ☆23Updated 2 years ago
- ☆20Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆55Updated 5 months ago
- ☆52Updated 2 years ago
- Physics-informed radial basis network☆28Updated 7 months ago
- Implementation of fast PINN optimization with RBA weights☆45Updated 3 months ago
- Competitive Physics Informed Networks☆26Updated 3 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆9Updated 3 years ago
- Multifidelity DeepONet☆27Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆49Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆21Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 8 months ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆17Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- XPINN code written in TensorFlow 2☆27Updated last year
- POD-PINN code and manuscript☆47Updated 2 months ago