raj-brown / APMA2070Links
☆50Updated 2 years ago
Alternatives and similar repositories for APMA2070
Users that are interested in APMA2070 are comparing it to the libraries listed below
Sorting:
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Applications of PINOs☆132Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆72Updated 2 years ago
- ☆54Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆138Updated 3 years ago
- ☆172Updated last year
- ☆65Updated 9 months ago
- ☆221Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- POD-PINN code and manuscript☆52Updated 9 months ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated 2 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆108Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆50Updated 8 months ago
- Competitive Physics Informed Networks☆31Updated 11 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆77Updated 2 years ago
- ☆112Updated 6 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- ☆147Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago