vc-bonn / Spline_PINNLinks
☆114Updated 8 months ago
Alternatives and similar repositories for Spline_PINN
Users that are interested in Spline_PINN are comparing it to the libraries listed below
Sorting:
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆152Updated 5 years ago
- ☆99Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆92Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆38Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆118Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆149Updated 3 years ago
- ☆152Updated 3 years ago
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆84Updated 2 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆98Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- ☆225Updated 4 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆53Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆52Updated 2 years ago
- ☆55Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆193Updated 2 years ago
- ☆178Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆161Updated last year
- ☆60Updated 7 months ago
- Applications of PINOs☆136Updated 3 years ago
- POD-PINN code and manuscript☆54Updated 11 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆216Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆279Updated 4 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year