xiangzixuebit / LBPINNLinks
☆14Updated 2 years ago
Alternatives and similar repositories for LBPINN
Users that are interested in LBPINN are comparing it to the libraries listed below
Sorting:
- POD-PINN code and manuscript☆52Updated 9 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 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 7 months ago
- ☆11Updated last month
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆16Updated last year
- ☆28Updated 7 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆88Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- ☆46Updated 2 years ago
- Physics-Informed Neural Network☆87Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- ☆13Updated 8 months ago
- PINN in solving Navier–Stokes equation☆109Updated 5 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- ☆11Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 5 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆38Updated 9 months ago
- ☆54Updated 2 years ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆31Updated last year
- ☆64Updated 2 years ago