Event-AHU / PINN_Paper_ListLinks
Paper List of Physics-Informed Neural Network (PINN)
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- ποΈ PINNACLE: PINN Adaptive ColLocation and Experimental points selectionβ22Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 3 years 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 9 months ago
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- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learningβ39Updated 8 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.β73Updated 2 years ago
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- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.β15Updated 5 months ago
- Competitive Physics Informed Networksβ31Updated 11 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.β34Updated last year
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- A Self-Training Physics-Informed Neural Network for Partial Differential Equationsβ22Updated 2 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform toβ¦β49Updated 2 years ago
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- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1β¦β75Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaβ¦β41Updated 2 years ago
- ICON for in-context operator learningβ57Updated 6 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weightingβ37Updated 2 years ago