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 selectionβ24Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 4 years ago
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- β28Updated 11 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."β75Updated 6 months ago
- PINNs for 2D Incompressible Navier-Stokes Equationβ55Updated last year
- β12Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorchβ19Updated last year
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- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1β¦β78Updated 3 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorovβ¦β16Updated last month
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- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"β12Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)β16Updated 4 years ago
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- Physics Informed Fourier Neural Operatorβ23Updated 11 months ago