MPTCO / FiniteNet
Code for the FiniteNet ICML Paper
☆17Updated 5 years ago
Alternatives and similar repositories for FiniteNet:
Users that are interested in FiniteNet are comparing it to the libraries listed below
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- POD-PINN code and manuscript☆48Updated 4 months ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 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
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆38Updated 6 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- This repository contains python based LES solver (FDM/spectral) of 2D decaying turbulence.☆14Updated 4 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆65Updated 2 years ago
- DeepONet extrapolation☆26Updated last year
- ☆23Updated 8 months ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆33Updated 9 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆27Updated last year
- ☆62Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- ☆24Updated 6 years ago
- ☆53Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields☆67Updated 3 years ago
- ☆19Updated 7 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago