baoshiaijhin / amgnetLinks
☆27Updated 2 years ago
Alternatives and similar repositories for amgnet
Users that are interested in amgnet are comparing it to the libraries listed below
Sorting:
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 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…☆26Updated 10 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Physics-informed radial basis network☆33Updated last year
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- POD-PINN code and manuscript☆55Updated last year
- ☆42Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆35Updated 3 years ago
- Modified Meshgraphnets with more features☆56Updated 9 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Laminar flow prediction using graph neural networks☆31Updated 10 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆85Updated last year
- ☆20Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆52Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 5 months ago
- Physics-informed neural networks for two-phase flow problems☆70Updated last month
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆32Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆92Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆54Updated last year