Jianxun-Wang / LabelFree-DNN-Surrogate
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
☆83Updated last year
Alternatives and similar repositories for LabelFree-DNN-Surrogate:
Users that are interested in LabelFree-DNN-Surrogate are comparing it to the libraries listed below
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆83Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- POD-PINN code and manuscript☆47Updated 2 months ago
- PINN in solving Navier–Stokes equation☆83Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆61Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- DeepONet extrapolation☆25Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆38Updated 8 months ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆64Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆126Updated 3 years ago
- ☆62Updated 5 years ago
- ☆103Updated 6 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆27Updated 9 months ago
- Physics-informed neural networks for two-phase flow problems☆49Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆23Updated last week
- XPINN code written in TensorFlow 2☆27Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆60Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- Deep Learning of Vortex Induced Vibrations☆89Updated 4 years ago
- ☆52Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆129Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆118Updated 9 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆91Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆29Updated 7 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆61Updated 9 months ago