quercushernandez / StructurePreservingNN
Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
☆19Updated last year
Alternatives and similar repositories for StructurePreservingNN:
Users that are interested in StructurePreservingNN are comparing it to the libraries listed below
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆14Updated 3 weeks ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Updated 5 months ago
- ☆11Updated 3 years ago
- ☆21Updated 6 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆20Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- ☆37Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 3 years ago
- ☆40Updated 4 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 9 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Deep Learning of Turbulent Scalar Mixing☆16Updated 5 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆19Updated last week
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…