vc-bonn / Spline_PINN
☆107Updated 3 months ago
Alternatives and similar repositories for Spline_PINN:
Users that are interested in Spline_PINN are comparing it to the libraries listed below
- PINNs for 2D Incompressible Navier-Stokes Equation☆45Updated 11 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆141Updated 4 years ago
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆96Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆140Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆74Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆135Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆55Updated 2 years ago
- ☆24Updated 3 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆194Updated 4 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- ☆92Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆31Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- ☆135Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- ☆49Updated 4 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆172Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆52Updated 2 weeks ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆191Updated 2 years ago
- ☆66Updated 5 months ago