stefaniafresca / DL-ROM
Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
☆15Updated last year
Alternatives and similar repositories for DL-ROM:
Users that are interested in DL-ROM are comparing it to the libraries listed below
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆22Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- ☆11Updated this week
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆19Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆13Updated 3 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- ☆17Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆16Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆11Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆18Updated 7 months ago
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 6 years ago
- ☆10Updated last year
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- ☆15Updated 7 months ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆19Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- ☆24Updated 6 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago