Event-AHU / PINN_Paper_ListLinks
Paper List of Physics-Informed Neural Network (PINN)
☆48Updated 3 weeks ago
Alternatives and similar repositories for PINN_Paper_List
Users that are interested in PINN_Paper_List are comparing it to the libraries listed below
Sorting:
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆26Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Physics-informed neural networks (PINNs)☆14Updated 3 years ago
- ☆26Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆54Updated last year
- Encoding physics to learn reaction-diffusion processes☆109Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated last month
- Competitive Physics Informed Networks☆32Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆103Updated 3 years ago
- ☆24Updated 5 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 2 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆81Updated 3 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆55Updated 7 months ago
- Physics-encoded recurrent convolutional neural network☆47Updated 3 years ago
- ☆34Updated 3 years ago
- ☆91Updated 2 years ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 3 months ago
- implementation of physics-informed variational auto-encoder☆19Updated 2 years ago
- Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involv…☆33Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆163Updated last year
- ☆65Updated 3 months ago
- ☆18Updated 2 years ago
- ☆176Updated last year
- PDE Preserved Neural Network☆58Updated 6 months ago