dynamicslab / dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
☆56Updated 4 years ago
Alternatives and similar repositories for dominant-balance:
Users that are interested in dominant-balance are comparing it to the libraries listed below
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- ☆62Updated 5 years ago
- Easy Reduced Basis method☆84Updated 3 weeks ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆67Updated this week
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆47Updated 2 years ago
- ☆41Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated 2 weeks ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆67Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆51Updated last year
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆38Updated 6 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆78Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆142Updated 3 years ago
- ☆92Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆48Updated 2 months ago
- ☆33Updated this week
- Solving PDEs with NNs☆52Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆149Updated 2 weeks ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆137Updated last year