Event-AHU / PINN_Paper_ListLinks
Paper List of Physics-Informed Neural Network (PINN)
β37Updated 2 months ago
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- ποΈ PINNACLE: PINN Adaptive ColLocation and Experimental points selectionβ22Updated last year
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- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 3 years ago
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- Competitive Physics Informed Networksβ30Updated 11 months ago
- PINNs for 2D Incompressible Navier-Stokes Equationβ51Updated last year
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- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problemsβ98Updated 3 years ago
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.β15Updated 5 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1β¦β75Updated 3 years ago
- 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
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neurβ¦β12Updated last year
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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¦β41Updated 2 years ago
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- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Networkβ¦β25Updated last month
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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 10 months ago
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- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.β73Updated 2 years ago