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 selectionβ27Updated last year
- Original implementation of fast PINN optimization with RBA weightsβ69Updated 4 months ago
- β26Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEsβ32Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problemsβ107Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.β77Updated 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
- Physics-informed neural networks (PINNs)β14Updated 3 years ago
- β196Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equationsβ23Updated 2 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementationβ118Updated 5 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1β¦β83Updated 3 years ago
- Competitive Physics Informed Networksβ32Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEsβ168Updated last year
- β71Updated 3 months ago
- β36Updated 3 years ago
- β94Updated 2 years ago
- Encoding physics to learn reaction-diffusion processesβ110Updated 2 years ago
- Physics-encoded recurrent convolutional neural networkβ48Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weightingβ39Updated 2 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networksβ24Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problemβ17Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networksβ43Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equationβ58Updated last year
- Physics Informed Fourier Neural Operatorβ29Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNsβ28Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal dataβ49Updated 2 years ago
- β24Updated 7 months ago
- PDE Preserved Neural Networkβ59Updated 8 months ago