nicholassung97 / Neuroevolution-of-PINNsLinks
☆18Updated 2 years ago
Alternatives and similar repositories for Neuroevolution-of-PINNs
Users that are interested in Neuroevolution-of-PINNs are comparing it to the libraries listed below
Sorting:
- ☆34Updated 3 years ago
- ☆24Updated 5 months ago
- Physics-informed neural networks (PINNs)☆14Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- ☆40Updated 2 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆19Updated 3 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated last year
- Paper List of Physics-Informed Neural Network (PINN)☆44Updated this week
- ☆16Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 11 months ago
- ☆103Updated 4 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 11 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆31Updated 11 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- Competitive Physics Informed Networks☆31Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆24Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- ☆41Updated 7 years ago
- Original implementation of fast PINN optimization with RBA weights☆66Updated 2 months ago
- ☆19Updated this week