Event-AHU / PINN_Paper_ListLinks
Paper List of Physics-Informed Neural Network (PINN)
β53Updated 2 weeks ago
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- ποΈ PINNACLE: PINN Adaptive ColLocation and Experimental points selectionβ27Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 4 years ago
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- Encoding physics to learn reaction-diffusion processesβ110Updated 2 years ago
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- PINNs for 2D Incompressible Navier-Stokes Equationβ58Updated last year
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- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.β75Updated 2 years ago
- β14Updated last year
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- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weightingβ38Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Networkβ¦β27Updated 3 months ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equationsβ23Updated 2 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorchβ58Updated 8 months ago
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- π Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scieβ¦β11Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1β¦β84Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weightsβ68Updated 4 months ago
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- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaβ¦β43Updated 2 years ago