zwqwo / PINN_scratchLinks
☆65Updated 3 years ago
Alternatives and similar repositories for PINN_scratch
Users that are interested in PINN_scratch are comparing it to the libraries listed below
Sorting:
- Tutorials on deep learning, Python, and dissipative particle dynamics☆195Updated 3 years ago
- DeepXDE and PINN☆128Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆155Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆98Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- ☆64Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆83Updated 3 weeks ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆160Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆77Updated 2 years ago
- ☆52Updated 9 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆142Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆248Updated 3 years ago
- This is the code of my master thesis.☆147Updated 5 months ago
- Physics-informed learning of governing equations from scarce data☆150Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- ☆151Updated 3 years ago
- A place to share problems solved with SciANN☆288Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆327Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- PINN in solving Navier–Stokes equation☆112Updated 5 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆58Updated 5 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆187Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago