mroberto166 / PinnsSubLinks
☆67Updated last year
Alternatives and similar repositories for PinnsSub
Users that are interested in PinnsSub are comparing it to the libraries listed below
Sorting:
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 7 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Immersed Boundary Projection Method☆110Updated 5 years ago
- Multifidelity DeepONet☆33Updated last year
- Deep Learning of Vortex Induced Vibrations☆95Updated 5 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- ☆70Updated 7 months ago
- ☆26Updated 5 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- Easy Reduced Basis method☆85Updated 3 months ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- Spectral proper orthogonal decomposition in Matlab☆138Updated 9 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated last month
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- ☆50Updated 6 months ago