baoshiaijhin / amgnetLinks
☆27Updated last year
Alternatives and similar repositories for amgnet
Users that are interested in amgnet are comparing it to the libraries listed below
Sorting:
- Laminar flow prediction using graph neural networks☆31Updated 6 months ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 3 weeks 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
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- ☆16Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 4 months ago
- ☆39Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆35Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- Physics-informed radial basis network☆31Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆10Updated 7 months ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated last month
- PINN for obtaining WSS from sparse data☆64Updated last year
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆42Updated 3 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- Multifidelity DeepONet☆34Updated 2 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- ☆111Updated 5 months ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆21Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago